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从有缺失信息的电子健康记录中识别常见治疗方法。以乳腺癌为例。

Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer.

机构信息

BCAM - Basque Center for Applied Mathematics, Bilbao, Spain.

Hospital Universitario Cruces, Barakaldo, Spain.

出版信息

PLoS One. 2020 Dec 29;15(12):e0244004. doi: 10.1371/journal.pone.0244004. eCollection 2020.

Abstract

The aim of this paper is to analyze the sequence of actions in the health system associated with a particular disease. In order to do that, using Electronic Health Records, we define a general methodology that allows us to: (i) identify the actions in the health system associated with a disease; (ii) identify those patients with a complete treatment for the disease; (iii) and discover common treatment pathways followed by the patients with a specific diagnosis. The methodology takes into account the characteristics of the EHRs, such as record heterogeneity and missing information. As an example, we use the proposed methodology to analyze breast cancer disease. For this diagnosis, 5 groups of treatments, which fit in with medical practice guidelines and expert knowledge, were obtained.

摘要

本文旨在分析与特定疾病相关的医疗体系中的一系列行为。为此,我们使用电子健康记录(EHR)定义了一种通用方法,该方法使我们能够:(i)识别与疾病相关的医疗体系中的行为;(ii)识别接受过完整治疗的患者;(iii)发现具有特定诊断的患者所遵循的常见治疗途径。该方法考虑了 EHR 的特征,例如记录异质性和信息缺失。例如,我们使用所提出的方法来分析乳腺癌疾病。对于该诊断,获得了 5 组符合医学实践指南和专家知识的治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4ac/7771666/2e9236bb5620/pone.0244004.g001.jpg

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