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Updated: Jun 22, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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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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倾向权重联合学习用于分布式不平衡环境中的治疗效果估计

Alejandro Almodóvar1, Juan Parras1, Santiago Zazo1

  • 1Information Processing and Telecommunication Center, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Spain.

Computers in biology and medicine
|June 29, 2024
PubMed
概括

在不同患者数据和隐私规则的医院中估计治疗效果是具有挑战性的. 一种新的联合学习方法,即倾向加权联合平均 (PW FedAvg),即使在不平衡的治疗分布下,也提高了因果推理的准确性.

关键词:
因果推理的原因推理.反事实性的预测预测.联合学习是联合学习.倾向性得分的得分是多少?治疗的影响治疗效应.

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