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Updated: Jan 10, 2026

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

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从入院数据的前2天预测长期住院时间:基于SHAP值的变量选择方法用于简化模型

Rui Fa1, Daniel Stoessel2, Svetlana Artemova3

  • 1Elsevier Health Analytics, London, EC2Y 5AS, United Kingdom.

International journal for quality in health care : journal of the International Society for Quality in Health Care
|November 25, 2025
PubMed
概括

预测长期住院时间 (LOS) 对资源管理和患者护理至关重要. 使用早期住院数据的机器学习模型可以准确识别有风险的患者,从而实现及时干预.

关键词:
人工智能和健康可以解释性的解释性.医疗信息技术健康信息技术机器学习是机器学习.人为中心的护理.质量改善 质量改善

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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

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