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Updated: Jul 9, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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在使用结构化和非结构化数据预测住院时间时,在性能和可解释性之间找到最佳的权衡

Franck Jaotombo1,2, Luca Adorni3, Badih Ghattas4

  • 1EMLYON Business School, Ecully, France.

PloS one
|November 30, 2023
PubMed
概括

结合结构化和非结构化临床数据,显著改善了用于预测住院时间 (LOS) 的机器学习模型. 这种数据融合提高了预测性能和模型可解释性,以获得更好的患者护理见解.

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