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DATA ANALYTICS FOR HOSPITAL OPERATIONS

Modern hospitals and clinics produce tons of electronic data every day regarding patients, medications, treatments, and diseases. These amounts of data contain the potential to help humanity understand and analyze the biomedical fields from a statistical and predictive point of view. Throughout the...

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Main Author: EL SAFTY, ABDULRAHMAN EHAB
Format: Final Year Project
Language:English
Published: IRC 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/15997/1/Final%20Dissertation.pdf
http://utpedia.utp.edu.my/15997/
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spelling my-utp-utpedia.159972017-01-25T09:35:24Z http://utpedia.utp.edu.my/15997/ DATA ANALYTICS FOR HOSPITAL OPERATIONS EL SAFTY, ABDULRAHMAN EHAB TK Electrical engineering. Electronics Nuclear engineering Modern hospitals and clinics produce tons of electronic data every day regarding patients, medications, treatments, and diseases. These amounts of data contain the potential to help humanity understand and analyze the biomedical fields from a statistical and predictive point of view. Throughout the years, research has been concluded to develop methods of interpreting and analyzing this data. Biomedical statistical researchers have experimented algorithms to achieve findings and associations within the aspects of the data given. Medical decision-making is becoming more and more dependent on data analysis, rather than conventional experience and intuition. Hence, this project will look into the feasibility of developing software for hospital data analysis, specifically, the MIMIC-II (Multiparameter Intelligent Monitoring in Intensive Care) data that support a diverse range of analytic studies which extend across epidemiology, clinical decision-rule improvement, and electronic tool development. This statistical software is programmed to run multiple algorithms on the massive datasets in the mean of revealing similarities of items related to sets by focusing on the algorithm based of Market-Basket method. With the aim to assist in showing patterns and associations in hospital big data, the software reveals associations and apprehending patterns inside this data demonstrated as predictive analytics that can assist in handling comparable cases and present clinical and hospital-decisions IRC 2015-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/15997/1/Final%20Dissertation.pdf EL SAFTY, ABDULRAHMAN EHAB (2015) DATA ANALYTICS FOR HOSPITAL OPERATIONS. IRC, Universiti Teknologi PETRONAS. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
EL SAFTY, ABDULRAHMAN EHAB
DATA ANALYTICS FOR HOSPITAL OPERATIONS
description Modern hospitals and clinics produce tons of electronic data every day regarding patients, medications, treatments, and diseases. These amounts of data contain the potential to help humanity understand and analyze the biomedical fields from a statistical and predictive point of view. Throughout the years, research has been concluded to develop methods of interpreting and analyzing this data. Biomedical statistical researchers have experimented algorithms to achieve findings and associations within the aspects of the data given. Medical decision-making is becoming more and more dependent on data analysis, rather than conventional experience and intuition. Hence, this project will look into the feasibility of developing software for hospital data analysis, specifically, the MIMIC-II (Multiparameter Intelligent Monitoring in Intensive Care) data that support a diverse range of analytic studies which extend across epidemiology, clinical decision-rule improvement, and electronic tool development. This statistical software is programmed to run multiple algorithms on the massive datasets in the mean of revealing similarities of items related to sets by focusing on the algorithm based of Market-Basket method. With the aim to assist in showing patterns and associations in hospital big data, the software reveals associations and apprehending patterns inside this data demonstrated as predictive analytics that can assist in handling comparable cases and present clinical and hospital-decisions
format Final Year Project
author EL SAFTY, ABDULRAHMAN EHAB
author_facet EL SAFTY, ABDULRAHMAN EHAB
author_sort EL SAFTY, ABDULRAHMAN EHAB
title DATA ANALYTICS FOR HOSPITAL OPERATIONS
title_short DATA ANALYTICS FOR HOSPITAL OPERATIONS
title_full DATA ANALYTICS FOR HOSPITAL OPERATIONS
title_fullStr DATA ANALYTICS FOR HOSPITAL OPERATIONS
title_full_unstemmed DATA ANALYTICS FOR HOSPITAL OPERATIONS
title_sort data analytics for hospital operations
publisher IRC
publishDate 2015
url http://utpedia.utp.edu.my/15997/1/Final%20Dissertation.pdf
http://utpedia.utp.edu.my/15997/
_version_ 1739832203273043968
score 13.211869

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