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A Polylobar Nucleus Identifying and Extracting Method for Leukocyte Counting Comput. Math. Method Med. (IF 2.238) Pub Date : 20210723
Jin Chen, Yiping Cao, Jie Gao, Haihua AnAccurate counting of leukocytes is an important method for diagnosing human blood diseases. Because most nuclei of neutrophils and eosinophils are polylobar, it is easily confused with the unilobar nuclei in nucleus segmentation. Therefore, it is very essential to accurately identify and determine the polylobar leukocytes. In this paper, a polylobar nucleus identification and extracting method is proposed

Bioinformatics Analysis of the Molecular Mechanism and Potential Treatment Target of Ankylosing Spondylitis Comput. Math. Method Med. (IF 2.238) Pub Date : 20210722
Fanyan Meng, Ningna Du, Daoming Xu, Li Kuai, Lanying Liu, Minning XiuAnkylosing spondylitis (AS) is an autoimmune disease that mainly affects the spinal joints, sacroiliac joints, and adjacent soft tissues. We conducted bioinformatics analysis to explore the molecular mechanism related to AS pathogenesis and uncover novel potential molecular targets for the treatment of AS. The profiles of GSE25101, containing gene expression data extracted from the blood of 16 AS patients

miR1825p Serves as an Oncogene in Lung Adenocarcinoma through Binding to STARD13 Comput. Math. Method Med. (IF 2.238) Pub Date : 20210722
Xuhui Wu, Wei Wang, Gongzhi Wu, CongXiong Peng, Jichun LiuLung cancer as one of the commonest invasive malignancies is featured by high morbidity and mortality, wherein lung adenocarcinoma (LUAD) is the most prevalent subtype. Accumulating evidence exhibited that microRNAs are involved in LUAD occurrence and progression. In this study, miR1825p was observed to increase in both LUAD tissue and cell lines. Overexpression of miR1825p could prominently facilitate

CT Image Analysis and Clinical Diagnosis of New Coronary Pneumonia Based on Improved Convolutional Neural Network Comput. Math. Method Med. (IF 2.238) Pub Date : 20210722
Wu Deng, Bo Yang, Wei Liu, Weiwei Song, Yuan Gao, Jia XuIn this paper, based on the improved convolutional neural network, indepth analysis of the CT image of the new coronary pneumonia, using the UNet series of deep neural networks to semantically segment the CT image of the new coronary pneumonia, to obtain the new coronary pneumonia area as the foreground and the remaining areas as the background of the binary image, provides a basis for subsequent

Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression Comput. Math. Method Med. (IF 2.238) Pub Date : 20210720
Ming Dai, Qiyao Wei, Yuxin Zhang, Chuanqin Fang, Ping Qu, Lei CaoPurpose. Red blood cell distribution width (RDW) is increased in a variety of inflammatoryrelated diseases. However, there is no report of its clinical significance in poststroke depression (PSD). This study explores the clinical significance of RDW in PSD patients. Methods. A total of 185 patients with firstever acute ischaemic stroke (AIS) in the Second Hospital of Anhui Medical University were

A Comprehensive Evaluation of miR1443p Expression and Its Targets in Laryngeal Squamous Cell Carcinoma Comput. Math. Method Med. (IF 2.238) Pub Date : 20210716
BinYu Mo, JinShu Pang, WenBin Dai, Yasi Su, Wei Jiang, SuNing HuangLaryngeal squamous cell carcinoma (LSCC) is an aggressive type of head and neck squamous cell carcinoma (HNSCC) with a relatively high rate of morbidity and mortality. An altered miR1443p level in LSCC with a small number of patients has been previously reported. However, the clinical implication of miR1443p and its involved mechanism underlying this disease is not clearly elucidated. In this work

Analysis of DNA Sequence Classification Using CNN and Hybrid Models Comput. Math. Method Med. (IF 2.238) Pub Date : 20210716
Hemalatha Gunasekaran, K. Ramalakshmi, A. Rex Macedo Arokiaraj, S. Deepa Kanmani, Chandran Venkatesan, C. Suresh Gnana DhasIn a general computational context for biomedical data analysis, DNA sequence classification is a crucial challenge. Several machine learning techniques have used to complete this task in recent years successfully. Identification and classification of viruses are essential to avoid an outbreak like COVID19. Regardless, the feature selection process remains the most challenging aspect of the issue

Identification of the Hub Genes in Alzheimer’s Disease Comput. Math. Method Med. (IF 2.238) Pub Date : 20210716
Huiwen Gui, Qi Gong, Jun Jiang, Mei Liu, Huanyin LiPurpose. Alzheimer’s disease (AD) is considered to be the most common neurodegenerative disease and also one of the major fatal diseases affecting the elderly, thus bringing a huge burden to society. Therefore, identifying ADrelated hub genes is extremely important for developing novel strategies against AD. Materials and Methods. Here, we extracted the gene expression profile GSE63061 from the National

Application of Data Mining Algorithms for Dementia in People with HIV/AIDS Comput. Math. Method Med. (IF 2.238) Pub Date : 20210710
Luana Ibiapina Cordeiro Calíope Pinheiro, Maria Lúcia Duarte Pereira, Marcial Porto Fernandez, Francisco Mardônio Vieira Filho, Wilson Jorge Correia Pinto de Abreu, Pedro Gabriel Calíope Dantas PinheiroDementia interferes with the individual’s motor, behavioural, and intellectual functions, causing him to be unable to perform instrumental activities of daily living. This study is aimed at identifying the best performing algorithm and the most relevant characteristics to categorise individuals with HIV/AIDS at high risk of dementia from the application of data mining. Principal component analysis

Comprehensive Characterization of Common and CancerSpecific Differently Expressed lncRNAs in Urologic Cancers Comput. Math. Method Med. (IF 2.238) Pub Date : 20210710
YouJi Yan, Ling Zhang, JiaJie Zhou, ZhongJun Chen, YiXiang Liao, JinMin Zeng, Hao ShenUrologic cancers, comprising prostate carcinoma (PCa), renal cell carcinoma (RCC), and bladder carcinoma (BCa), were the commonly occurred carcinoma amid males. Long noncoding RNAs (lncRNAs) with the length of more than 200 nt functioned importantly in physiological and pathological advancement. Nevertheless, further investigation regarding lncRNA expression feature and function in urologic cancers

miR2235p Suppresses OTX1 to Mediate Malignant Progression of Lung Squamous Cell Carcinoma Cells Comput. Math. Method Med. (IF 2.238) Pub Date : 20210708
Yunping LuBackground. Lung squamous cell carcinoma (LUSC) features high morbidity and mortality as a worldwide malignant tumor. This study mainly explored a miR2235pdependent mechanism that affected proliferation, invasion, and migration of LUSC cells. Methods. Expression data of mature miRNAs and sequencing data of total RNA of LUSC were downloaded from TCGA database. Differentially expressed mRNAs were

miR30a5p Regulates Viability, Migration, and Invasion of Lung Adenocarcinoma Cells via Targeting ECT2 Comput. Math. Method Med. (IF 2.238) Pub Date : 20210707
Sangsang Chen, Xuqing Zhu, Jing Zheng, Tingting Xu, Yinmin Xu, Feng ChenObjective. The abnormal expression of epithelial cell transforming sequence 2 (ECT2) is often considered the driving factor for the growth and invasion of tumors. This study was performed to investigate the regulatory effect of miR30a5p and ECT2 on lung adenocarcinoma (LUAD), which provides a basis for the effective clinical treatment of LUAD. Methods. The mature miRNAs, expression data of mRNAs

Optimization of Correlation Filters Using Extended Particle Swarm Optimization Technique Comput. Math. Method Med. (IF 2.238) Pub Date : 20210707
Haris Masood, Amad Zafar, Muhammad Umair Ali, Muhammad Attique Khan, Kashif Iqbal, Usman Tariq, Seifedine KadryIn the past few decades, the field of image processing has seen a rapid advancement in the correlation filters, which serves as a very promising tool for object detection and recognition. Mostly, complex filter equations are used for deriving the correlation filters, leading to a filter solution in a closed loop. Selection of optimal tradeoff (OT) parameters is crucial for the effectiveness of correlation

Clinical FeatureBased Machine Learning Model for 1Year Mortality Risk Prediction of STSegment Elevation Myocardial Infarction in Patients with Hyperuricemia: A Retrospective Study Comput. Math. Method Med. (IF 2.238) Pub Date : 20210705
Zhixun Bai, Jing Lu, Ting Li, Yi Ma, Zhijiang Liu, Ranzun Zhao, Zhenglong Wang, Bei ShiAccurate risk assessment of highrisk patients is essential in clinical practice. However, there is no practical method to predict or monitor the prognosis of patients with STsegment elevation myocardial infarction (STEMI) complicated by hyperuricemia. We aimed to evaluate the performance of different machine learning models for the prediction of 1year mortality in STEMI patients with hyperuricemia

Modeling the Effect of Binding Kinetics in Spatial Drug Distribution in the Brain Comput. Math. Method Med. (IF 2.238) Pub Date : 20210705
Nelson Kashaju, Mark Kimathi, Verdiana G. MasanjaA 3dimensional mathematical model is developed to determine the effect of drug binding kinetics on the spatial distribution of a drug within the brain. The key components, namely, transport across the bloodbrain barrier (BBB), drug distribution in the brain extracellular fluid (ECF), and drug binding kinetics are coupled with the bidirectional bulk flow of the brain ECF to enhance the visualization

Multiclassification of Endoscopic Colonoscopy Images Based on Deep Transfer Learning Comput. Math. Method Med. (IF 2.238) Pub Date : 20210703
Yan Wang, Zixuan Feng, Liping Song, Xiangbin Liu, Shuai LiuWith the continuous improvement of human living standards, dietary habits are constantly changing, which brings various bowel problems. Among them, the morbidity and mortality rates of colorectal cancer have maintained a significant upward trend. In recent years, the application of deep learning in the medical field has become increasingly spread aboard and deep. In a colonoscopy, Artificial Intelligence

A Computationally Virtual Histological Staining Method to Ovarian Cancer Tissue by Deep Generative Adversarial Networks Comput. Math. Method Med. (IF 2.238) Pub Date : 20210702
Xiangyu Meng, Xin Li, Xun WangHistological analysis to tissue samples is elemental for diagnosing the risk and severity of ovarian cancer. The commonly used Hematoxylin and Eosin (H&E) staining method involves complex steps and strict requirements, which would seriously impact the research of histological analysis of the ovarian cancer. Virtual histological staining by the Generative Adversarial Network (GAN) provides a feasible

Stability and Hopf Bifurcation Analysis of an Epidemic Model with Time Delay Comput. Math. Method Med. (IF 2.238) Pub Date : 20210702
Yue Zhang, Xue Li, Xianghua Zhang, Guisheng YinEpidemic models are normally used to describe the spread of infectious diseases. In this paper, we will discuss an epidemic model with time delay. Firstly, the existence of the positive fixed point is proven; and then, the stability and Hopf bifurcation are investigated by analyzing the distribution of the roots of the associated characteristic equations. Thirdly, the theory of normal form and manifold

The Association between the rs312457 Genotype of the SLC16a13 Gene and Diabetes Mellitus in a Chinese Population Comput. Math. Method Med. (IF 2.238) Pub Date : 20210628
Hui Zheng, Suying Pu, Yu Zhang, Yujuan Fan, Jialin YangObjective. SLC16a genes encode H + coupled monocarboxylate transporters (MCTs). MCTs are involved in maintaining interstitial fluids’ pH and regulating insulin’s binding affinity to its receptor, which is a potential mechanism for the onset of diabetes. In this research, we make explorations of the association between the rs312457 genotype of the SLC16a13 gene and diabetes in the Chinese population

Circular RNA circFAT1(e2) Promotes Colorectal Cancer Tumorigenesis via the miR30e5p/ITGA6 Axis Comput. Math. Method Med. (IF 2.238) Pub Date : 20210628
Fei Pan, Dongqing Zhang, Na Li, Mei LiucircRNAs (circular RNAs) are a family of noncoding RNAs and have diverse physiological and pathological functions. However, the functions and mechanisms of circRNAs in the development and progression of colorectal cancer (CRC) remain largely unknown. Here, we aimed to explore the functions and roles of circFAT1(e2) in CRC. qRTPCR revealed that circFAT1(e2) in CRC tumor tissues was upregulated compared

Construction and Validation of a Lung Cancer Diagnostic Model Based on 6Gene Methylation Frequency in Blood, Clinical Features, and Serum Tumor Markers Comput. Math. Method Med. (IF 2.238) Pub Date : 20210628
Chunyan Kang, Dandan Wang, Xiuzhi Zhang, Lingxiao Wang, Fengxiang Wang, Jie ChenLung cancer has a high mortality rate. Promoting early diagnosis and screening of lung cancer is the most effective way to enhance the survival rate of lung cancer patients. Through computer technology, a comprehensive evaluation of genetic testing results and basic clinical information of lung cancer patients could effectively diagnose early lung cancer and indicate cancer risks. This study retrospectively

A RealTime Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture Comput. Math. Method Med. (IF 2.238) Pub Date : 20210628
Carmen Paz SuárezAraujo, Patricio García Báez, Ylermi CabreraLeón, Ales Prochazka, Norberto Rodríguez Espinosa, Carlos Fernández Viadero, for the Alzheimer’s Disease Neuroimaging InitiativeClinical procedure for mild cognitive impairment (MCI) is mainly based on clinical records and short cognitive tests. However, low suspicion and difficulties in understanding test cutoffs make diagnostic accuracy being low, particularly in primary care. Artificial neural networks (ANNs) are suitable to design computed aided diagnostic systems because of their features of generating relationships between

P3H4 Overexpression Serves as a Prognostic Factor in Lung Adenocarcinoma Comput. Math. Method Med. (IF 2.238) Pub Date : 20210624
Xiangfeng Jin, Haiqing Zhou, Jianfang Song, Hong Cui, Yiren Luo, Haiping JiangBackground. The present study is aimed at evaluating the functional and clinical values of P3H4 in lung adenocarcinoma. Moreover, we also investigated the downstream pathways that P3H4 might participate in. Methods. The differential expression analysis was used to identify genes differentially expressed in lung adenocarcinoma tissues as compared with normal tissues. Survival analysis was used to test

An Optimized Method for Skin Cancer Diagnosis Using Modified Thermal Exchange Optimization Algorithm Comput. Math. Method Med. (IF 2.238) Pub Date : 20210619
Liu Wei, Su Xiao Pan, Y. A. Nanehkaran, V. RajinikanthSkin cancer is the most common cancer of the body. It is estimated that more than one million people worldwide develop skin cancer each year. Early detection of this cancer has a high effect on the disease treatment. In this paper, a new optimal and automatic pipeline approach has been proposed for the diagnosis of this disease from dermoscopy images. The proposed method includes a noise reduction

A Model for Evolutionary Structural Plasticity and Synchronization of a Network of Neurons Comput. Math. Method Med. (IF 2.238) Pub Date : 20210617
Gualberto SolísPerales, Jairo Sánchez EstradaA model of timedependent structural plasticity for the synchronization of neuron networks is presented. It is known that synchronized oscillations reproduce structured communities, and this synchronization is transient since it can be enhanced or suppressed, and the proposed model reproduces this characteristic. The evolutionary behavior of the couplings is comparable to those of a network of biological

miR18a5p Targets FBP1 to Promote Proliferation, Migration, and Invasion of Liver Cancer Cells and Inhibit Cell Apoptosis Comput. Math. Method Med. (IF 2.238) Pub Date : 20210615
Shan Gao, Dongjie Zhu, Jian Zhu, Lianqiang Shen, Ming Zhu, Xuefeng RenLiver cancer is one of the most aggressive malignant tumors. It is significant to understand the molecular mechanism of liver cancer cells to develop new treatment plans. Studies have identified that FBP1 serves as a cancer inhibitor gene. To research the effect mechanism of FBP1 in liver cancer cells, bioinformatics analysis was performed to study its expression in liver cancer tissue. Survival analysis

A Calibrated Multiexit Neural Network for Detecting Urothelial Cancer Cells Comput. Math. Method Med. (IF 2.238) Pub Date : 20210614
L. Lilli, E. Giarnieri, S. ScardapaneDeep convolutional networks have become a powerful tool for medical imaging diagnostic. In pathology, most efforts have been focused in the subfield of histology, while cytopathology (which studies diagnostic tools at the cellular level) remains underexplored. In this paper, we propose a novel deep learning model for cancer detection from urinary cytopathology screening images. We leverage recent ideas

The Application Value of ContrastEnhanced Ultrasound in Testicular Occupied Lesions Comput. Math. Method Med. (IF 2.238) Pub Date : 20210612
Qiping Liu, Huiling Gong, Hui Zhu, Chunyan Yuan, Bin HuObjective. To discuss the clinical application value of contrastenhanced ultrasound (CEUS) in testicular occupied lesions. Methods. Nine conventionalultrasoundfound testicular occupied lesions which underwent CEUS meantime were analyzed retrospectively. The CEUS perfusion pattern was compared with the surgical pathological result or followup findings. Results. Among all the 9 testicular occupied

Medical Image Fusion Based on LowLevel Features Comput. Math. Method Med. (IF 2.238) Pub Date : 20210610
Yongxin Zhang, Chenrui Guo, Peng ZhaoMedical image fusion is an important technique to address the limited depth of the optical lens for a completely informative focused image. It can well improve the accuracy of diagnosis and assessment of medical problems. However, the difficulty of many traditional fusion methods in preserving all the significant features of the source images compromises the clinical accuracy of medical problems. Thus

Altered Gene Expression in the Testis of Infertile Patients with Nonobstructive Azoospermia Comput. Math. Method Med. (IF 2.238) Pub Date : 20210610
Zhiqiang Wang, Zhongjun Ding, Yan Guan, Chunhui Liu, Linjun Wang, Wensheng Shan, Jie YangBackground. The molecular mechanism of nonobstructive azoospermia (NOA) remains unclear. The aim of this study was to identify gene expression changes in NOA patients and to explore potential biomarkers and therapeutic targets. Methods. The gene expression profiles of GSE45885 and GSE145467 were collected from the Gene Expression Omnibus (GEO) database, and the differences between NOA and normal spermatogenesis

Bioinformatics Analysis of ceRNA Network Related to Polycystic Ovarian Syndrome Comput. Math. Method Med. (IF 2.238) Pub Date : 20210609
Yuanqi Li, Yong TanIntroduction. Polycystic ovary syndrome (PCOS) is caused by the hormonal environment in utero, abnormal metabolism, and genetics, and it is common in women of childbearing age. A large number of studies have reported that lncRNA is important to the biological process of cancer and can be used as a potential prognostic biomarker. Thus, we studied lncRNAs’ roles in PCOS in this article. Methods. We obtained

Correlation Analysis between the Viral Load and the Progression of COVID19 Comput. Math. Method Med. (IF 2.238) Pub Date : 20210609
Wenyu Chen, Qinfeng Xiao, Zhixian Fang, Xiaodong Lv, Ming Yao, Min DengObjectives. This study is aimed at exploring the relationship of the viral load of coronavirus disease 2019 (COVID19) with lymphocyte count, neutrophil count, and Creactive protein (CRP) and investigating the dynamic change of patients’ viral load during the conversion from mild COVID19 to severe COVID19, so as to clarify the correlation between the viral load and progression of COVID19. Methods

Stability and Hopf Bifurcation Analysis of a VectorBorne Disease Model with Two Delays and Reinfection Comput. Math. Method Med. (IF 2.238) Pub Date : 20210608
Yanxia Zhang, Long Li, Junjian Huang, Yanjun LiuIn this paper, a vectorborne disease model with two delays and reinfection is established and considered. First of all, the existence of the equilibrium of the system, under different cases of two delays, is discussed through analyzing the corresponding characteristic equation of the linear system. Some conditions that the system undergoes Hopf bifurcation at the endemic equilibrium are obtained.

Research for Expression and Prognostic Value of GABRD in Colon Cancer and Coexpressed Gene Network Construction Based on Data Mining Comput. Math. Method Med. (IF 2.238) Pub Date : 20210607
Tao Liu, Yuejun FangColon cancer is one of the top five cancers with the highest incidence rate in the world. In order to better understand the pathogenesis and progression of colon cancer, it is still necessary to investigate the abnormally expressed genes in cancer tissue. In this study, the Oncomine database was used for expression analysis, and it was found that the expression level of gammaaminobutyric acid type

An Overview of Deep Learning Techniques on Chest XRay and CT Scan Identification of COVID19 Comput. Math. Method Med. (IF 2.238) Pub Date : 20210607
Woan Ching Serena Low, Joon Huang Chuah, Clarence Augustine T. H. Tee, Shazia Anis, Muhammad Ali Shoaib, Amir Faisal, Azira Khalil, Khin Wee LaiPneumonia is an infamous lifethreatening lung bacterial or viral infection. The latest viral infection endangering the lives of many people worldwide is the severe acute respiratory syndrome coronavirus 2 (SARSCoV2), which causes COVID19. This paper is aimed at detecting and differentiating viral pneumonia and COVID19 disease using digital Xray images. The current practices include tedious conventional

CMMCSegNet: CrossModality Multicascade Indirect LGE Segmentation on Multimodal Cardiac MR Comput. Math. Method Med. (IF 2.238) Pub Date : 20210607
Yu Wang, Jianping ZhangSince LateGadolinium Enhancement (LGE) of cardiac magnetic resonance (CMR) visualizes myocardial infarction, and the balancedSteady State Free Precession (bSSFP) cine sequence can capture cardiac motions and present clear boundaries; multimodal CMR segmentation has played an important role in the assessment of myocardial viability and clinical diagnosis, while automatic and accurate CMR segmentation

Seven Mathematical Models of Hemorrhagic Shock Comput. Math. Method Med. (IF 2.238) Pub Date : 20210604
Luciano Curcio, Laura D'Orsi, Andrea De GaetanoAlthough mathematical modelling of pressureflow dynamics in the cardiocirculatory system has a lengthy history, readily finding the appropriate model for the experimental situation at hand is often a challenge in and of itself. An ideal model would be relatively easy to use and reliable, besides being ethically acceptable. Furthermore, it would address the pathogenic features of the cardiovascular

Recognition of Fetal Facial Ultrasound Standard Plane Based on Texture Feature Fusion Comput. Math. Method Med. (IF 2.238) Pub Date : 20210604
Xiaoli Wang, Zhonghua Liu, Yongzhao Du, Yong Diao, Peizhong Liu, Guorong Lv, Haojun ZhangIn the process of prenatal ultrasound diagnosis, accurate identification of fetal facial ultrasound standard plane (FFUSP) is essential for accurate facial deformity detection and disease screening, such as cleft lip and palate detection and Down syndrome screening check. However, the traditional method of obtaining standard planes is manual screening by doctors. Due to different levels of doctors

Clinical Characteristics and Early Interventional Responses in Patients with Severe COVID19 Pneumonia Comput. Math. Method Med. (IF 2.238) Pub Date : 20210602
Susu He, Lina Fang, Lingzhen Xia, Shuangxiang Lin, Junhui Ye, Dinghai LuoProgressive acute respiratory distress syndrome (ARDS) is the most lethal cause in patients with severe COVID19 pneumonia due to uncontrolled inflammatory reaction, for which we found that early intervention of combined treatment with methylprednisolone and human immunoglobulin is a highly effective therapy to improve the prognosis of COVID19induced pneumonia patients. Objective. Herein, we have

miR196a2 Promotes Malignant Progression of Thyroid Carcinoma by Targeting NRXN1 Comput. Math. Method Med. (IF 2.238) Pub Date : 20210601
Yaohua Fan, MingJian Fei, Yan Li, Zhenzhen Gao, Yuzhang Zhu, Guiping Dai, Dongjuan WuThyroid cancer (TC) is the most common endocrine malignant disease with a rising morbidity year by year. Accumulating studies have shown that microRNAs (miRNAs) play a regulatory role in the progression of various tumors, but the molecular regulatory mechanism of miR196a2 in TC is still unknown. qRTPCR was employed to measure the expression of miR196a2 and NRXN1 mRNA in TC cells, while western

An Effective Method for Detecting and Classifying Diabetic Retinopathy Lesions Based on Deep Learning Comput. Math. Method Med. (IF 2.238) Pub Date : 20210531
Abdüssamed Erciyas, Necaattin BarışçıDiabetic retinopathy occurs as a result of the harmful effects of diabetes on the eyes. Diabetic retinopathy is also a disease that should be diagnosed early. If not treated early, vision loss may occur. It is estimated that one third of more than half a million diabetic patients will have diabetic retinopathy by the 22nd century. Many effective methods have been proposed for disease detection with

Identification of Arrhythmia by Using a Decision Tree and Gated Network Fusion Model Comput. Math. Method Med. (IF 2.238) Pub Date : 20210530
Peng Lu, Yabin Zhang, Bing Zhou, Hongpo Zhang, Liwei Chen, Yusong Lin, Xiaobo Mao, Yang Gao, Hao XiIn recent years, deep learning (DNN) based methods have made leapfrogging level breakthroughs in detecting cardiac arrhythmias as the cost effectiveness of arithmetic power, and data size has broken through the tipping point. However, the inability of these methods to provide a basis for modeling decisions limits clinicians’ confidence on such methods. In this paper, a Gate Recurrent Unit (GRU) and

Application of Montgomery TTube Placement in Treating CottonMyer IV Subglottic Airway Atresia after BiLevel Airway Recanalization Comput. Math. Method Med. (IF 2.238) Pub Date : 20210528
Fengjie Wu, Yangwei Yao, Yangyang Gu, Meng Yang, Enguo Chen, Huihui Hu, Jisong Zhang, Liangliang Dong, Yeli ZhuObjective. The purpose of this study is to explore the effectiveness and safety of Montgomery Ttube placement in treating CottonMyer IV subglottic airway atresia after bilevel airway recanalization. Methods. This study is a retrospective study. 11 patients who were treated for IV subglottic airway atresia between January 2017 and January 2019 in the Second Affiliated Hospital of Jiaxing University

Inferences for Weibull Fréchet Distribution Using a Bayesian and NonBayesian Methods on Gastric Cancer Survival Times Comput. Math. Method Med. (IF 2.238) Pub Date : 20210527
Rashad M. ELSagheer, Ethar M. Shokr, Mohamed A. W. Mahmoud, Beih S. ElDesoukyIn this article, based on progressively typeII censored schemes, the maximum likelihood, Bayes, and two parametric bootstrap methods are used for estimating the unknown parameters of the Weibull Fréchet distribution and some lifetime indices as reliability and hazard rate functions. Moreover, approximate confidence intervals and asymptotic variancecovariance matrix have been obtained. Markov chain

Blood Vessel Segmentation of Fundus Retinal Images Based on Improved Frangi and Mathematical Morphology Comput. Math. Method Med. (IF 2.238) Pub Date : 20210526
Feng Tian, Ying Li, Jing Wang, Wei ChenAn improved blood vessel segmentation algorithm on the basis of traditional Frangi filtering and the mathematical morphological method was proposed to solve the low accuracy of automatic blood vessel segmentation of fundus retinal images and high complexity of algorithms. First, a global enhanced image was generated by using the contrastlimited adaptive histogram equalization algorithm of the retinal

Research on Characteristic of Chronic Spontaneous Urticaria Based on Multiscale Entropy Comput. Math. Method Med. (IF 2.238) Pub Date : 20210526
Shujuan Wang, Ping Song, Rong Ma, Yanzhong Wang, Bin Yu, Min Wang, Meiqi Wang, Jihong Shen, Yuntao Dai, Yuming Wang, Wanqing XieChronic spontaneous urticaria (CSU) is a common skin disease which symptom is local pruritus and pain. In medicine, researchers take a certain point that the brain is the control center of CSU, but in previous experiments, the researchers found that cerebellum also had a certain effect on CSU. In order to find out the influence of CSU in the brain and cerebellum, we collected the brain restingstate

ExpressionEEG Bimodal Fusion Emotion Recognition Method Based on Deep Learning Comput. Math. Method Med. (IF 2.238) Pub Date : 20210526
Yu Lu, Hua Zhang, Lei Shi, Fei Yang, Jing LiAs one of the key issues in the field of emotional computing, emotion recognition has rich application scenarios and important research value. However, the single biometric recognition in the actual scene has the problem of low accuracy of emotion recognition classification due to its own limitations. In response to this problem, this paper combines deep neural networks to propose a deep learningbased

RAMRSGL: A Robust Adaptive Multinomial Regression Model for Multicancer Classification Comput. Math. Method Med. (IF 2.238) Pub Date : 20210526
Lei Wang, Juntao Li, Juanfang Liu, Mingming ChangIn view of the challenges of the group Lasso penalty methods for multicancer microarray data analysis, e.g., dividing genes into groups in advance and biological interpretability, we propose a robust adaptive multinomial regression with sparse group Lasso penalty (RAMRSGL) model. By adopting the overlapping clustering strategy, affinity propagation clustering is employed to obtain each cancer gene

Genomic Island Prediction via ChiSquare Test and Random Forest Algorithm Comput. Math. Method Med. (IF 2.238) Pub Date : 20210525
Mbulayi Onesime, Zhenyu Yang, Qi DaiGenomic islands are related to microbial adaptation and carry different genomic characteristics from the host. Therefore, many methods have been proposed to detect genomic islands from the rest of the genome by evaluating its sequence composition. Many sequence features have been proposed, but many of them have not been applied to the identification of genomic islands. In this paper, we present a scheme

Delivery of miR2245p by Exosomes from CancerAssociated Fibroblasts Potentiates Progression of Clear Cell Renal Cell Carcinoma Comput. Math. Method Med. (IF 2.238) Pub Date : 20210525
Yifei Liu, Wenqiang Fu, Xiaoning Cao, Shuopeng Li, Tianyu Xiong, Xiaolei Zhang, Xiaotang Wu, Ling Cheng, Yanbing Wei, Bin GaoObjectives. Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma. Cancerassociated fibroblasts (CAFs) as the primary components of cancer stroma can affect tumor progression by secreting exosomes, while exosomes are carriers for proteins, nucleic acids, and other agents that responsible for delivery of biological information. Given this, exosomes derived from

Construction of mRNA Regulatory Networks Reveals the Key Genes in Atrial Fibrillation Comput. Math. Method Med. (IF 2.238) Pub Date : 20210525
Nannan Chen, Mu Qin, Qunlin Gong, Nan Xu, Yu Lin, Jiahong Wang, Pengxiang ZhengAtrial fibrillation (AF), the most familiar heart rhythm disorder, is a major cause of stroke in the world, whereas the mechanism behind AF remains largely unclear. In the current study, we used the RNAseq method to identify 275 positively regulated mRNAs and 117 negatively regulated mRNAs in AF compared to healthy controls. Through bioinformatic analysis, it indicated that these distinctively expressed

Ghrelin Regulates Cyclooxygenase2 Expression and Promotes Gastric Cancer Cell Progression Comput. Math. Method Med. (IF 2.238) Pub Date : 20210524
Huanqing Li, Xiaohong Zhang, Li FengAim. To research the molecular mechanism of ghrelin in apoptosis, migratory, and invasion of gastric cancer (GC) cells. Methods. After GC AGS cells were handled with ghrelin (10–8 M), cyclooxygenase2 inhibitor NS398 (100 μM), and Akt inhibitor perifosine (10uM), the rates of apoptosis were detected by TUNEL assay and flow cytometry assay. We assessed the expressions of PI3K, pAkt, and COX2 proteins

PixelWise Classification in Hippocampus Histological Images Comput. Math. Method Med. (IF 2.238) Pub Date : 20210521
Alfonso Vizcaíno, Hermilo SánchezCruz, Humberto Sossa, J. Luis QuintanarThis paper presents a method for pixelwise classification applied for the first time on hippocampus histological images. The goal is achieved by representing pixels in a 14D vector, composed of greylevel information and moment invariants. Then, several popular machine learning models are used to categorize them, and multiple metrics are computed to evaluate the performance of the different models

Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner Comput. Math. Method Med. (IF 2.238) Pub Date : 20210518
S. Murugesan, R. S. Bhuvaneswaran, H. Khanna Nehemiah, S. Keerthana Sankari, Y. Nancy JaneA computeraided diagnosis (CAD) system that employs a super learner to diagnose the presence or absence of a disease has been developed. Each clinical dataset is preprocessed and split into training set (60%) and testing set (40%). A wrapper approach that uses three bioinspired algorithms, namely, cat swarm optimization (CSO), krill herd (KH) ,and bacterial foraging optimization (BFO) with the classification

Research on Ultrasonic Image Recognition Based on Optimization Immune Algorithm Comput. Math. Method Med. (IF 2.238) Pub Date : 20210518
Xueqiang Zeng, Sufen ChenWith the rapid development of science and technology, ultrasound has been paid more and more attention by people, and it is widely used in engineering, diagnosis, and detection. In this paper, an ultrasonic image recognition method based on immune algorithm is proposed for ultrasonic images, and its method is applied to medical ultrasound liver image recognition. Firstly, this paper grays out the ultrasound

LCCNet: A Lightweight CrossConsistency Network for Semisupervised Cardiac MR Image Segmentation Comput. Math. Method Med. (IF 2.238) Pub Date : 20210517
Lai Song, Jiajin Yi, Jialin PengSemantic segmentation plays a crucial role in cardiac magnetic resonance (MR) image analysis. Although supervised deep learning methods have made significant performance improvements, they highly rely on a large amount of pixelwise annotated data, which are often unavailable in clinical practices. Besides, topperforming methods usually have a vast number of parameters, which result in high computation

Automatic Segmentation of Left Ventricle in Echocardiography Based on YOLOv3 Model to Achieve Constraint and Positioning Comput. Math. Method Med. (IF 2.238) Pub Date : 20210517
Zhemin Zhuang, Pengcheng Jin, Alex Noel Joseph Raj, Ye Yuan, Shuxin ZhuangCardiovascular disease (CVD) is the most common type of disease and has a high fatality rate in humans. Early diagnosis is critical for the prognosis of CVD. Before using myocardial tissue strain, strain rate, and other indicators to evaluate and analyze cardiac function, accurate segmentation of the left ventricle (LV) endocardium is vital for ensuring the accuracy of subsequent diagnosis. For accurate

Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms Comput. Math. Method Med. (IF 2.238) Pub Date : 20210517
Fawaz Waselallah Alsaade, Theyazn H. H. Aldhyani, Mosleh Hmoud AlAdhailehIn recent years, computerized biomedical imaging and analysis have become extremely promising, more interesting, and highly beneficial. They provide remarkable information in the diagnoses of skin lesions. There have been developments in modern diagnostic systems that can help detect melanoma in its early stages to save the lives of many people. There is also a significant growth in the design of computeraided

Improved Functional Causal LikelihoodBased Causal Discovery Method for Diabetes Risk Factors Comput. Math. Method Med. (IF 2.238) Pub Date : 20210517
Xiue Gao, Wenxue Xie, Zumin Wang, Bo Chen, Shengbin ZhouDiabetes mellitus is a disease that has reached epidemic proportions globally in recent years. Consequently, the prevention and treatment of diabetes have become key social challenges. Most of the research on diabetes risk factors has focused on correlation analysis with little investigation into the causality of these risk factors. However, understanding the causality is also essential to preventing

Feature Selection on Elite Hybrid Binary Cuckoo Search in Binary Label Classification Comput. Math. Method Med. (IF 2.238) Pub Date : 20210512
Maoxian Zhao, Yue QinFor the low optimization accuracy of the cuckoo search algorithm, a new search algorithm, the Elite Hybrid Binary Cuckoo Search (EHBCS) algorithm, is improved by feature weighting and elite strategy. The EHBCS algorithm has been designed for feature selection on a series of binary classification datasets, including lowdimensional and highdimensional samples by SVM classifier. The experimental results