A Longitudinal And Domain Wise Survey On MIMIC III Dataset

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Ch. Raja Ramesh, Pantula Muralidhar, K. M. V. Madan Kumar, Srinu Banothu, Manoj Kumar Mahto, R. Chaitanya Kumar

Abstract

Medical Information Mart for Intensive Care III (MIMIC-III) database is one of the popular databases in medical fields related to the history of in-and-out patients. This database is applied in multiple domains such as data analysis, Machine learning, and Natural Language processing to study or analyze the characteristics of the patients deceased or suffered with sepsis. To explore the extensions with MIMIC database, the most popular articles are scrutinized then identified overview of the concepts related to various computer science domains, summarizes the architecture models, optimization models, and statistical measures of different features used from the MIMIC database, and compared the among articles related to the same class of diseases. The findings, provided in this article open doors for future scope in research on MIMIC Database that will be helpful for different medical fields as well as in the fields of computer-related domains.

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