可解释性
计算机科学
数据科学
电子健康档案
电子病历
医学诊断
数据收集
病历
健康信息学
健康档案
医疗保健
万维网
情报检索
医学
互联网隐私
护理部
人工智能
病理
公共卫生
经济
放射科
统计
经济增长
数学
作者
Alistair E. W. Johnson,Lucas Bulgarelli,Lu Shen,Alvin Gayles,Ayad Shammout,Steven Horng,Tom Pollard,Sicheng Hao,Benjamin Moody,Brian J. Gow,Li-wei H. Lehman,Leo Anthony Celi,Roger G. Mark
标识
DOI:10.1038/s41597-022-01899-x
摘要
Digital data collection during routine clinical practice is now ubiquitous within hospitals. The data contains valuable information on the care of patients and their response to treatments, offering exciting opportunities for research. Typically, data are stored within archival systems that are not intended to support research. These systems are often inaccessible to researchers and structured for optimal storage, rather than interpretability and analysis. Here we present MIMIC-IV, a publicly available database sourced from the electronic health record of the Beth Israel Deaconess Medical Center. Information available includes patient measurements, orders, diagnoses, procedures, treatments, and deidentified free-text clinical notes. MIMIC-IV is intended to support a wide array of research studies and educational material, helping to reduce barriers to conducting clinical research.
科研通智能强力驱动
Strongly Powered by AbleSci AI