样式: 排序: IF: - GO 导出 标记为已读
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Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health records J. Biomed. Inform. (IF 4.5) Pub Date : 2024-03-22 Zhao Li, Lan Lan, Yujia Zhou, Ruoxing Li, Kenneth D. Chavin, Hua Xu, Liang Li, David J.H. Shih, W. Jim Zheng
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A comprehensive performance evaluation, comparison, and integration of computational methods for detecting and estimating cross-contamination of human samples in cancer next-generation sequencing analysis J. Biomed. Inform. (IF 4.5) Pub Date : 2024-03-12 Huijuan Chen, Bing Wang, Lili Cai, Xiaotian Yang, Yali Hu, Yiran Zhang, Xue Leng, Wen Liu, Dongjie Fan, Beifang Niu, Qiming Zhou
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ParTRE: A relational triple extraction model of complicated entities and imbalanced relations in Parkinson’s disease J. Biomed. Inform. (IF 4.5) Pub Date : 2024-03-11 Xiaoming Zhang, Can Yu, Rui Yan
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Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis J. Biomed. Inform. (IF 4.5) Pub Date : 2024-03-08 Qiuhong Wei, Zhengxiong Yao, Ying Cui, Bo Wei, Zhezhen Jin, Ximing Xu
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FedFSA: Hybrid and federated framework for functional status ascertainment across institutions J. Biomed. Inform. (IF 4.5) Pub Date : 2024-03-06 Sunyang Fu, Heling Jia, Maria Vassilaki, Vipina K. Keloth, Yifang Dang, Yujia Zhou, Muskan Garg, Ronald C. Petersen, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Andrew Wen, Fang Li, Hua Xu, Cui Tao, Jungwei Fan, Hongfang Liu, Sunghwan Sohn
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A scoping review of fair machine learning techniques when using real-world data J. Biomed. Inform. (IF 4.5) Pub Date : 2024-03-06 Yu Huang, Jingchuan Guo, Wei-Han Chen, Hsin-Yueh Lin, Huilin Tang, Fei Wang, Hua Xu, Jiang Bian
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Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets J. Biomed. Inform. (IF 4.5) Pub Date : 2024-03-05 Yiming Li, Wei Tao, Zehan Li, Zenan Sun, Fang Li, Susan Fenton, Hua Xu, Cui Tao
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Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy J. Biomed. Inform. (IF 4.5) Pub Date : 2024-03-01 Quentin Marcou, Laure Berti-Equille, Noël Novelli
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Detecting goals of care conversations in clinical notes with active learning J. Biomed. Inform. (IF 4.5) Pub Date : 2024-02-29 Davy Weissenbacher, Katherine Courtright, Siddharth Rawal, Andrew Crane-Droesch, Karen O’Connor, Nicholas Kuhl, Corinne Merlino, Anessa Foxwell, Lindsay Haines, Joseph Puhl, Graciela Gonzalez-Hernandez
Goals of care (GOC) discussions are an increasingly used quality metric in serious illness care and research. Wide variation in documentation practices within the Electronic Health Record (EHR) presents challenges for reliable measurement of GOC discussions. Novel natural language processing approaches are needed to capture GOC discussions documented in real-world samples of seriously ill hospitalized
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From translational bioinformatics computational methodologies to personalized medicine J. Biomed. Inform. (IF 4.5) Pub Date : 2024-02-28 Barbara Di Camillo, Rosalba Giugno
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Soft phenotyping for sepsis via EHR time-aware soft clustering J. Biomed. Inform. (IF 4.5) Pub Date : 2024-02-27 Shiyi Jiang, Xin Gai, Miriam M. Treggiari, William W. Stead, Yuankang Zhao, C. David Page, Anru R. Zhang
Sepsis is one of the most serious hospital conditions associated with high mortality. Sepsis is the result of a dysregulated immune response to infection that can lead to multiple organ dysfunction and death. Due to the wide variability in the causes of sepsis, clinical presentation, and the recovery trajectories, identifying sepsis sub-phenotypes is crucial to advance our understanding of sepsis characterization
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Graph neural networks for clinical risk prediction based on electronic health records: A survey J. Biomed. Inform. (IF 4.5) Pub Date : 2024-02-27 Heloísa Oss Boll, Ali Amirahmadi, Mirfarid Musavian Ghazani, Wagner Ourique de Morais, Edison Pignaton de Freitas, Amira Soliman, Farzaneh Etminani, Stefan Byttner, Mariana Recamonde-Mendoza
This study aims to comprehensively review the use of graph neural networks (GNNs) for clinical risk prediction based on electronic health records (EHRs). The primary goal is to provide an overview of the state-of-the-art of this subject, highlighting ongoing research efforts and identifying existing challenges in developing effective GNNs for improved prediction of clinical risks. A search was conducted
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Improving the interoperability of drugs terminologies: Infusing local standardization with an international perspective J. Biomed. Inform. (IF 4.5) Pub Date : 2024-02-22 Jean Noël Nikiema, James Liang, Man Qing Liang, Davllyn dos Anjos, Aude Motulsky
The objective of this study is to describe how OCRx (Canadian Drug Ontology) has been built to address the dual need for local drug information integration in Canada and alignment with international standards requirements. This paper delves into (i) the implementation efforts to meet the Identification of Medicinal Product (IDMP) requirements in OCRx, alongside the ontology update strategy, (ii) the
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Temporal attention networks for biomedical hypothesis generation J. Biomed. Inform. (IF 4.5) Pub Date : 2024-02-14 Huiwei Zhou, Haibin Jiang, Lanlan Wang, Weihong Yao, Yingyu Lin
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Multi-view representation learning for tabular data integration using inter-feature relationships J. Biomed. Inform. (IF 4.5) Pub Date : 2024-02-10 Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher R. King
An applied problem facing all areas of data science is harmonizing data sources. Joining data from multiple origins with unmapped and only partially overlapping features is a prerequisite to developing and testing robust, generalizable algorithms, especially in healthcare. This integrating is usually resolved using meta-data such as feature names, which may be unavailable or ambiguous. Our goal is
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EHR-BERT: A BERT-based model for effective anomaly detection in electronic health records J. Biomed. Inform. (IF 4.5) Pub Date : 2024-02-06 Haoran Niu, Olufemi A. Omitaomu, Michael A. Langston, Mohammad Olama, Ozgur Ozmen, Hilda B. Klasky, Angela Laurio, Merry Ward, Jonathan Nebeker
Physicians and clinicians rely on data contained in electronic health records (EHRs), as recorded by health information technology (HIT), to make informed decisions about their patients. The reliability of HIT systems in this regard is critical to patient safety. Consequently, better tools are needed to monitor the performance of HIT systems for potential hazards that could compromise the collected
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Extracting adverse drug events from clinical Notes: A systematic review of approaches used J. Biomed. Inform. (IF 4.5) Pub Date : 2024-02-06 Salisu Modi, Khairul Azhar Kasmiran, Nurfadhlina Mohd Sharef, Mohd Yunus Sharum
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SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization J. Biomed. Inform. (IF 4.5) Pub Date : 2024-02-05 Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
Electronic health records (EHRs) store an extensive array of patient information, encompassing medical histories, diagnoses, treatments, and test outcomes. These records are crucial for enabling healthcare providers to make well-informed decisions regarding patient care. Summarizing clinical notes further assists healthcare professionals in pinpointing potential health risks and making better-informed
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Evaluating the dynamic interplay of social distancing policies regarding airborne pathogens through a temporal interaction-driven model that uses real-world and synthetic data J. Biomed. Inform. (IF 4.5) Pub Date : 2024-02-01 Osnat Mokryn, Alex Abbey, Yanir Marmor, Yuval Shahar
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CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks J. Biomed. Inform. (IF 4.5) Pub Date : 2024-01-30 Jacqueline Michelle Metsch, Anna Saranti, Alessa Angerschmid, Bastian Pfeifer, Vanessa Klemt, Andreas Holzinger, Anne-Christin Hauschild
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CMBEE:A constraint-based multi-task learning framework for biomedical event extraction J. Biomed. Inform. (IF 4.5) Pub Date : 2024-01-23 Jingyue Hu, Buzhou Tang, Nan Lyu, Yuxin He, Ying Xiong
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Clinical natural language processing for secondary uses J. Biomed. Inform. (IF 4.5) Pub Date : 2024-01-24 Yanjun Gao, Diwakar Mahajan, Ozlem Uzuner, Meliha Yetisgen
Abstract not available
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Adjusting for false discoveries in constraint-based differential metabolic flux analysis J. Biomed. Inform. (IF 4.5) Pub Date : 2024-01-23 Bruno G. Galuzzi, Luca Milazzo, Chiara Damiani
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Strategies for secondary use of real-world clinical and administrative data for outcome ascertainment in pragmatic clinical trials J. Biomed. Inform. (IF 4.5) Pub Date : 2024-01-18 Cynthia Hau, Patricia A. Woods, Amanda S. Guski, Srihari I. Raju, Liang Zhu, Patrick R. Alba, William C. Cushman, Peter A. Glassman, Areef Ishani, Addison A. Taylor, Ryan E. Ferguson, Sarah M. Leatherman
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Useful blunders: Can automated speech recognition errors improve downstream dementia classification? J. Biomed. Inform. (IF 4.5) Pub Date : 2024-01-20 Changye Li, Weizhe Xu, Trevor Cohen, Serguei Pakhomov
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Semantics-enabled Biomedical Literature Analytics J. Biomed. Inform. (IF 4.5) Pub Date : 2024-01-19 Halil Kilicoglu, Faezeh Ensan, Bridget McInnes, Lucy Lu Wang
Abstract not available
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One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites J. Biomed. Inform. (IF 4.5) Pub Date : 2024-01-18 Dazheng Zhang, Jiayi Tong, Ronen Stein, Yiwen Lu, Naimin Jing, Yuchen Yang, Mary R. Boland, Chongliang Luo, Robert N. Baldassano, Raymond J. Carroll, Christopher B. Forrest, Yong Chen
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Few-shot learning based oral cancer diagnosis using a dual feature extractor prototypical network J. Biomed. Inform. (IF 4.5) Pub Date : 2024-01-08 Zijun Guo, Sha Ao, Bo Ao
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PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation J. Biomed. Inform. (IF 4.5) Pub Date : 2024-01-07 Isaac Shiri, Behrooz Razeghi, Sohrab Ferdowsi, Yazdan Salimi, Deniz Gündüz, Douglas Teodoro, Slava Voloshynovskiy, Habib Zaidi
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MultiWD: Multi-label wellness dimensions in social media posts J. Biomed. Inform. (IF 4.5) Pub Date : 2024-01-06 Muskan Garg, Xingyi Liu, M.S.V.P.J. Sathvik, Shaina Raza, Sunghwan Sohn
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Counterfactual formulation of patient-specific root causes of disease J. Biomed. Inform. (IF 4.5) Pub Date : 2024-01-06 Eric V. Strobl
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Retrieval augmentation of large language models for lay language generation J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-30 Yue Guo, Wei Qiu, Gondy Leroy, Sheng Wang, Trevor Cohen
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Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-30 Esther L. Meerwijk, Gabrielle A. Jones, Asqar S. Shotqara, Sofia Reyes, Suzanne R. Tamang, Hyrum S. Eddington, Ruth M. Reeves, Andrea K. Finlay, Alex H.S. Harris
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The PACIFIC ontology for heterogeneous data management in cardiology J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-20 Amel Raboudi, Pierre-Yves Hervé, Marianne Allanic, Philippe Boutinaud, Jean-Joseph Christophe, Hüseyin Firat, Elie Mousseaux, Mathieu Pernot, Pierre Prot, Alfonso Sartorius-Carvajal, Frédérique Chézalviel-Guilbert, Jean-Sébastien Hulot
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Learning from vertically distributed data across multiple sites: An efficient privacy-preserving algorithm for Cox proportional hazards model with variable selection J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-23 Guanhong Miao, Lei Yu, Jingyun Yang, David A. Bennett, Jinying Zhao, Samuel S. Wu
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Fine-tuning coreference resolution for different styles of clinical narratives J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-18 Yuxiang Liao, Hantao Liu, Irena Spasić
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ACDNet: Attention-guided Collaborative Decision Network for effective medication recommendation J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-12 Jiacong Mi, Yi Zu, Zhuoyuan Wang, Jieyue He
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A data-driven epidemic model with human mobility and vaccination protection for COVID-19 prediction J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-12 Ruqi Li, Yurong Song, Hongbo Qu, Min Li, Guo-Ping Jiang
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Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-12 Kimberly Amador, Alejandro Gutierrez, Anthony Winder, Jens Fiehler, Matthias Wilms, Nils D. Forkert
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Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-13 Seffi Cohen, Edo Lior, Moshe Bocher, Lior Rokach
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Deep learning uncertainty quantification for clinical text classification J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-13 Alina Peluso, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd Yusof, Tanmoy Bhattacharya, Adam Spannaus, Noah Schaefferkoetter, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer Doherty, Stephen Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Shang Gao
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Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer’s Disease J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-15 Federica Cruciani, Antonino Aparo, Lorenza Brusini, Carlo Combi, Silvia F. Storti, Rosalba Giugno, Gloria Menegaz, Ilaria Boscolo Galazzo
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Providing a framework for evaluation disease registry and health outcomes Software: Updating the CIPROS checklist J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-13 Fatemeh Shafiee, Masoume Sarbaz, Parviz Marouzi, Alireza Banaye Yazdipour, Khalil Kimiafar
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Evaluation of clinical practice guideline-derived clinical decision support systems using a novel quality model J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-09 Julián Alberto García-García, Manuel Carrero, María José Escalona, David Lizcano
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Data integration through canonical correlation analysis and its application to OMICs research J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-10 Sonia Wróbel, Cezary Turek, Ewa Stępień, Monika Piwowar
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Updating and recalibrating causal probabilistic models on a new target population J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-09 Evangelia Kyrimi, Rebecca S. Stoner, Zane B. Perkins, Erhan Pisirir, Jared M Wohlgemut, William Marsh, Nigel R.M. Tai
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Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-09 Richard L. Bradshaw, Kensaku Kawamoto, Jemar R. Bather, Melody S. Goodman, Wendy K. Kohlmann, Daniel Chavez-Yenter, Molly Volkmar, Rachel Monahan, Kimberly A. Kaphingst, Guilherme Del Fiol
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Obtaining clinical term embeddings from SNOMED CT ontology J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-07 Fuad Abu Zahra, Rohit J. Kate
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Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-07 Chuan Hong, Molei Liu, Daniel M. Wojdyla, Jimmy Hickey, Michael Pencina, Ricardo Henao
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Re-ordered fuzzy conformance checking for uncertain clinical records J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-07 Sicui Zhang, Laura Genga, Lukas Dekker, Hongchao Nie, Xudong Lu, Huilong Duan, Uzay Kaymak
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Language inference-based learning for Low-Resource Chinese clinical named entity recognition using language model J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-04 Zhaojian Cui, Kai Yu, Zhenming Yuan, Xiaofeng Dong, Weibin Luo
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Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-02 Gideon Vos, Kelly Trinh, Zoltan Sarnyai, Mostafa Rahimi Azghadi
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Efficient adversarial debiasing with concept activation vector — Medical image case-studies J. Biomed. Inform. (IF 4.5) Pub Date : 2023-12-01 Ramon Correa, Khushbu Pahwa, Bhavik Patel, Celine M. Vachon, Judy W. Gichoya, Imon Banerjee
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Convert-Pheno: A software toolkit for the interconversion of standard data models for phenotypic data J. Biomed. Inform. (IF 4.5) Pub Date : 2023-11-29 Manuel Rueda, Ivo C. Leist, Ivo G. Gut