In this Project we use a processed version of the Medical Information Mart for Intensive Care (MIMIC-III) dataset that contains information relating to patients admitted to critical care units at a large tertiary care hospital. Our main goal is to predict the duration that a patient is hospitalized and may belong in one of the 5 classes. In order to analyze and present the data we perform the following tasks.
-
Under
Data_Science/we perform an initial exploratory data analysis and process of the data. Next, we work on the modeling and its evaluation. -
Under
Flask_Basic_ELements/we implement an API to provide a machine friendly access and management of the data. -
Lastly, under
Front_with_React/we build a web-based user-interface that will allow a user to interact and perform various actions.