Exploratory Data Analysis of Intensive Care Unit Patients using MIMIC-III Database

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dc.contributor.authorArya, Abhishek
dc.contributor.supervisorKuo, Alex
dc.contributor.supervisorGerman, Daniel
dc.date.accessioned2019-03-29T22:22:45Z
dc.date.available2019-03-29T22:22:45Z
dc.date.copyright2019en_US
dc.date.issued2019-03-29
dc.degree.departmentDepartment of Computer Scienceen_US
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractExploratory data analysis refers to the set of procedures for producing descriptive and graphical summaries of the data. This analysis has been performed on MIMIC (Multi-parameter Intelligent Monitoring in Intensive Care) version 3 database. It is a relational database containing data related to intensive care unit patients at Beth Israel Deaconess Medical center and is a freely accessible data set utilized by researchers. This project provides a vital outlook of the data set which includes identification of any anomalies, check for assumptions, describing important variables, understanding relationship among variables, and frame hypotheses. The goal of this project is to conduct a pre-analysis of the database, which includes analysis of the database on the basis of variables of interest, before diving into deeper data analysis such as using machine learning or statistical modeling techniques and to make sure that data is relevant without any major problems to provide a valuable contribution towards further researches on the database.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/10676
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectData analysisen_US
dc.subjectHealth information scienceen_US
dc.subjectExploratory data analysisen_US
dc.subjectIntensive care unit patient databaseen_US
dc.titleExploratory Data Analysis of Intensive Care Unit Patients using MIMIC-III Databaseen_US
dc.typeprojecten_US

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