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Updated: Jun 9, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

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开发一个后勤回归模型来预测自发的早产,从母亲的社会人口和产科史在最初的怀孕登记时预测

Brenda F Narice1, Mariam Labib1, Mengxiao Wang2

  • 1School of Medicine and Population Health, The University of Sheffield, Sheffield, UK.

BMC pregnancy and childbirth
|October 21, 2024
PubMed
概括

一个新的模型使用随时可用的母体数据预测自发早产,为目前的方法提供了具有成本效益的替代方案. 这种方法旨在改善所有孕妇的可访问性,无论他们有没有先前的病史或是否能获得昂贵的查工具.

关键词:
后勤回归模型的逻辑回归模型.机器学习 机器学习预测 预测 预测怀孕 怀孕 怀孕 怀孕过早分娩 过早分娩是什么

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