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Updated: Jul 8, 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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使用电子健康记录进行机构预测模型的个性化联合学习:一种共变性调整方法

Shinji Tarumi, Mayumi Suzuki, Hanae Yoshida

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    概括

    联合调整共变量 (FedCov) 增强了个人化联合学习 (PFL) 的AI在医疗保健. 这种方法提高了模型个性化和可解释性,优于传统的联合学习方法.

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