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在肯尼亚人口中使用机器学习算法预测产后出血 (PPH)

Santosh Yogendra Shah1, Sumant Saxena1, Satya Pavitra Rani1

  • 1CognitiveCare Inc., Milpitas, CA, United States.

Frontiers in global women's health
|August 14, 2023
PubMed
概括

机器学习模型可以使用患者数据预测产后出血 (PPH) 风险. 天真贝叶斯模型表现最好,确定了肯尼亚PPH的关键风险因素.

关键词:
小微创新型国家和地区 (LMIC)机器学习是机器学习.孕产妇健康 孕产妇健康产后出血 产后出血是什么怀孕 怀孕 怀孕 怀孕 怀孕风险预测风险预测

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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