Predicting preeclampsia and related risk factors using data mining approaches: A cross-sectional study

• Main Authors: Zohreh Manoochehri (Author), Sara Manoochehri (Author), Farzaneh Soltani (Author), Leili Tapak (Author), Majid Sadeghifar (Author)
• 格式: 图书
• 出版: Shahid Sadoughi University of Medical Sciences, 2021-11-01T00:00:00Z.
• 主题: article
• 在线阅读: Connect to this object online.

Abstract Background: Preeclampsia is a type of pregnancy hypertension disorder that has adverse effects on both the mother and the fetus. Despite recent advances in the etiology of preeclampsia, no adequate clinical screening tests have been identified to diagnose the disorder. Objective: We aimed t...