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Updated: May 16, 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

Published on: May 15, 2020

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利用具有动态范围 (TLDR) 的时间学习来提高在电子健康记录中的反复暴露和治疗环境中对结果的预测

Jingya Cheng, Jonas Hügel, Jiazi Tian

    medRxiv : the preprint server for health sciences
    |April 1, 2025
    PubMed
    概括

    具有动态范围的时间学习 (TLDR) 通过随着时间的推移分析电子健康记录 (EHRs) 来改善SARS-CoV-2感染 (PASC) 后急性后续预测. 这种时间敏感的机器学习方法提高了研究结果的准确性和可解释性.

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