关于机器学习在电子健康记录中的当代应用的评论。
Comments on Contemporary Uses of Machine Learning for Electronic Health Records.
机构信息
Department of Biostatistics, University of North Carolina at Chapel Hill.
出版信息
N C Med J. 2024 Jun;85(4):263-265. doi: 10.18043/001c.120570.
PMID:39466097
Abstract
Various decisions concerning the management, display, and diagnostic use of electronic health records (EHR) data can be automated using machine learning (ML). We describe how ML is currently applied to EHR data and how it may be applied in the near future. Both benefits and shortcomings of ML are considered.
摘要
各种与管理、显示和诊断使用电子健康记录 (EHR) 数据相关的决策都可以使用机器学习 (ML) 来自动化。我们描述了当前如何将 ML 应用于 EHR 数据，以及在不久的将来可能如何应用。同时考虑了 ML 的优点和缺点。
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