ANALYTICS MODEL FOR PATIENT FORECASTING

Healthcare services quality provided by Hospital are impacted by the number of patients visit to the hospital. Due to a high number of patients visit, there are occurrences where the number of staff allocated is insufficient to manage and serve the high volume of patient visits. With the emerg...

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Main Author:	Osman, Muhammad Yasin
Format:	Final Year Project
Language:	English
Published:	IRC 2020
Subjects:	Q Science (General)
Online Access:	http://utpedia.utp.edu.my/21735/1/24664_Muhammad%20Yasin%20bin%20Osman.pdf http://utpedia.utp.edu.my/21735/
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Institution:	Universiti Teknologi Petronas
Language:	English

id	my-utp-utpedia.21735
record_format	eprints
spelling	my-utp-utpedia.217352021-09-23T23:40:10Z http://utpedia.utp.edu.my/21735/ ANALYTICS MODEL FOR PATIENT FORECASTING Osman, Muhammad Yasin Q Science (General) Healthcare services quality provided by Hospital are impacted by the number of patients visit to the hospital. Due to a high number of patients visit, there are occurrences where the number of staff allocated is insufficient to manage and serve the high volume of patient visits. With the emergence of data analytics, data forecasting was possible to be implemented into healthcare services. However, the forecasting practices has been focusing on the prediction for certain type of disease growth rate. This research paper will be working on studies to forecast number of patient visit. The contribution of this research paper is (1) The advantage of data analytics for resource management, and (2) Discussion on the analytics model and proposal to import the machine learning model into web interface. IRC 2020-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21735/1/24664_Muhammad%20Yasin%20bin%20Osman.pdf Osman, Muhammad Yasin (2020) ANALYTICS MODEL FOR PATIENT FORECASTING. IRC, Universiti Teknologi PETRONAS. (Submitted)
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	Q Science (General)
spellingShingle	Q Science (General) Osman, Muhammad Yasin ANALYTICS MODEL FOR PATIENT FORECASTING
description	Healthcare services quality provided by Hospital are impacted by the number of patients visit to the hospital. Due to a high number of patients visit, there are occurrences where the number of staff allocated is insufficient to manage and serve the high volume of patient visits. With the emergence of data analytics, data forecasting was possible to be implemented into healthcare services. However, the forecasting practices has been focusing on the prediction for certain type of disease growth rate. This research paper will be working on studies to forecast number of patient visit. The contribution of this research paper is (1) The advantage of data analytics for resource management, and (2) Discussion on the analytics model and proposal to import the machine learning model into web interface.
format	Final Year Project
author	Osman, Muhammad Yasin
author_facet	Osman, Muhammad Yasin
author_sort	Osman, Muhammad Yasin
title	ANALYTICS MODEL FOR PATIENT FORECASTING
title_short	ANALYTICS MODEL FOR PATIENT FORECASTING
title_full	ANALYTICS MODEL FOR PATIENT FORECASTING
title_fullStr	ANALYTICS MODEL FOR PATIENT FORECASTING
title_full_unstemmed	ANALYTICS MODEL FOR PATIENT FORECASTING
title_sort	analytics model for patient forecasting
publisher	IRC
publishDate	2020
url	http://utpedia.utp.edu.my/21735/1/24664_Muhammad%20Yasin%20bin%20Osman.pdf http://utpedia.utp.edu.my/21735/
_version_	1739832905197158400

ANALYTICS MODEL FOR PATIENT FORECASTING

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