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MIMIC-IV

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physionet.org2025-01-09 收录
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https://physionet.org/content/mimiciv/3.1/
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Retrospectively collected medical data has the opportunity to improve patient care through knowledge discovery and algorithm development. Broad reuse of medical data is desirable for the greatest public good, but data sharing must be done in a manner which protects patient privacy. Here we present Medical Information Mart for Intensive Care (MIMIC)-IV, a large deidentified dataset of patients admitted to the emergency department or an intensive care unit at the Beth Israel Deaconess Medical Center in Boston, MA. MIMIC-IV contains data for over 65,000 patients admitted to an ICU and over 200,000 patients admitted to the emergency department. MIMIC-IV incorporates contemporary data and adopts a modular approach to data organization, highlighting data provenance and facilitating both individual and combined use of disparate data sources. MIMIC-IV is intended to carry on the success of MIMIC-III and support a broad set of applications within healthcare.

回顾性收集的医疗数据有望通过知识发现和算法开发来提升患者护理水平。广泛利用医疗数据以实现最大公共利益乃为人所向往,然而数据共享必须以保护患者隐私的方式实施。本报告呈现了医疗信息市场(MIMIC)-IV,这是一份大规模去标识化数据集,收录了波士顿麻省贝斯以色列德科恩医疗中心急诊科或重症监护病房收治的患者的数据。MIMIC-IV包含了超过65,000名入住ICU患者的数据以及超过200,000名入住急诊科患者的数据。MIMIC-IV整合了当代数据,并采用模块化方法组织数据,突显数据来源,并促进不同数据源的单个和综合使用。MIMIC-IV旨在延续MIMIC-III的成功,并支持医疗保健领域内广泛的运用。
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