Using unsupervised machine learning to classify behavioral risk markers of bacterial vaginosis

被引：0
|
作者：
Violeta J. Rodriguez
Yue Pan
Ana S. Salazar
Nicholas Fonseca Nogueira
Patricia Raccamarich
Nichole R. Klatt
Deborah L. Jones
Maria L. Alcaide
机构：
[1] University of Miami Miller School of Medicine,Department of Psychiatry and Behavioral Sciences
[2] University of Georgia,Department of Psychology
[3] University of Miami Miller School of Medicine,Division of Biostatistics, Department of Public Health Sciences
[4] University of Miami Miller School of Medicine,Division of Infectious Diseases, Department of Medicine
[5] University of Minnesota,Surgical Outcomes and Precision Medicine Research Division, Department of Surgery
来源：
Archives of Gynecology and Obstetrics | 2024年 / 309卷
关键词：
Bacterial vaginosis; Unsupervised machine learning; Sexual behavior; Women;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1053 / 1063
页数：10
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