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Prediction of preterm birth based on machine learning using bacterial risk score in cervicovaginal fluid
American Journal of Reproductive Immunology ( IF 2.5 ) Pub Date : 2021-04-27 , DOI: 10.1111/aji.13435
Sunwha Park 1 , Daejoong Oh 2 , Hanna Heo 1 , Gain Lee 1, 3 , Soo Min Kim 1, 3 , AbuZar Ansari 1 , Young-Ah You 1 , Yun Ji Jung 4 , Young-Han Kim 4 , Myunghoon Lee 2 , Young Ju Kim 1, 3
Affiliation  

Preterm birth (PTB) is a major cause of increased morbidity and mortality in newborns. The main cause of spontaneous PTB (sPTB) is the activation of an inflammatory response as a result of ascending genital tract infection. Despite various studies on the effects of the vaginal microbiome on PTB, a practical method for its clinical application has yet to be developed.

中文翻译:

基于机器学习的宫颈阴道液细菌风险评分预测早产

早产(PTB)是新生儿发病率和死亡率增加的主要原因。自发性 PTB (sPTB) 的主要原因是上行生殖道感染导致炎症反应的激活。尽管对阴道微生物组对 PTB 的影响进行了各种研究,但尚未开发出一种实用的临床应用方法。
更新日期:2021-04-27
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