“MIMIC database is an extensive, freely accessible database comprising de-identified health data of over forty thousand patients in intensive/critical care units. This data was collected from the Beth Israel Deaconess Medical Center in Boston, Massachusetts. This data includes demographics, vital sign measurements taken at the bedside (like heart rate and blood pressure), laboratory test results, medications, diagnoses, and survival data. One of the important features of MIMIC is that it supports a wide array of research inquiries in the fields of healthcare, including clinical studies, machine learning algorithm development, and epidemiology studies. Its accessibility and richness of data make it a valuable resource for researchers and data scientists looking to improve patient care and healthcare processes.
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Johnson, Alistair, Tom Pollard, and Roger Mark. 2015. “MIMIC-III Clinical Database.” PhysioNet. https://doi.org/10.13026/C2XW26.
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Johnson, Alistair E. W., Tom J. Pollard, Lu Shen, Li-wei H. Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G. Mark. 2016. “MIMIC-III, a Freely Accessible Critical Care Database.” Scientific Data 3 (1): 160035. https://doi.org/10.1038/sdata.2016.35.”