Abstract:

In order to understand the content and the research and utilization of a typical and open source medical database in the United States-the Medical Information Mart for Intensive Care, also called MIMIC, this paper systematically investigates the content of the MIMIC dataset and analyzes the literatures about the research of the MIMIC dataset in the Web of Science, respectively from number of documents, nations, institutions, research topics and research methods. It is found that the research and utilization of MIMIC dataset are in the ascending period, and its research depth and breadth are insufficient. Universities and medical companies in China should strengthen their researches and utilization on MIMIC dataset. The research topics focus on the prediction of prognosis and mortality of ICU patients, and researchers may explore more research topics. Data mining methods mainly focus on the general machine learning and statistical analysis methods, while mining methods with stronger pertinence need to be proposed.

Key words: MIMIC, Electronic medical record, Data mining, Topic distribution, Intensive care unit(ICU)