Machine learning analysis of multiparameter home telecare clinical measurement data for patient health stratification

A medical decision support system (DSS) is designed to assist clinician in monitoring patient’s health by the means of providing reminders, advice as well as interpretation. This system is good enough in the sense of monitoring patient’s health and improves the early prevention by the means of pro...

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Main Author:	Mohd Hanafi, Mat Som
Format:	Thesis
Language:	English
Subjects:	Home telecare Medical decision support system (DSS) Machine learning analysis Patient data
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/40858/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/40858/2/Full%20text.pdf
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record_format	uketd_dc
spelling	my-unimap-408582016-02-04T04:39:18Z Machine learning analysis of multiparameter home telecare clinical measurement data for patient health stratification Mohd Hanafi, Mat Som A medical decision support system (DSS) is designed to assist clinician in monitoring patient’s health by the means of providing reminders, advice as well as interpretation. This system is good enough in the sense of monitoring patient’s health and improves the early prevention by the means of providing ‘just-in-time’ notifications for the best action to be taken. In Biomedical System Laboratory (BSL) of UNSW, there is a system as such described that provides information on the patient’s conditions based on the risk they may have by analyzing the data entered in the database. But there is a need to improve current system to increase their performance. Score generated by the DSS is compared with the journal on patient’s conditions entered manually by medical personnel. The objective is to see the reliability of the score generated by the DSS. Unfortunately, due to some problems on the data, the outcome of this study can’t be used for reference. However, the method used can be repeated but with a better database storing the patient’s information. University of New South Wales 2008-07 Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40858 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/40858/1/Page%201-24.pdf 8859567cfd7d4e5a49faab06329e1072 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/40858/2/Full%20text.pdf 177d7cf5941cd84c91ebdc5917ae49d0 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/40858/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Home telecare Medical decision support system (DSS) Machine learning analysis Patient data
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
topic	Home telecare Medical decision support system (DSS) Machine learning analysis Patient data
spellingShingle	Home telecare Medical decision support system (DSS) Machine learning analysis Patient data Mohd Hanafi, Mat Som Machine learning analysis of multiparameter home telecare clinical measurement data for patient health stratification
description	A medical decision support system (DSS) is designed to assist clinician in monitoring patient’s health by the means of providing reminders, advice as well as interpretation. This system is good enough in the sense of monitoring patient’s health and improves the early prevention by the means of providing ‘just-in-time’ notifications for the best action to be taken. In Biomedical System Laboratory (BSL) of UNSW, there is a system as such described that provides information on the patient’s conditions based on the risk they may have by analyzing the data entered in the database. But there is a need to improve current system to increase their performance. Score generated by the DSS is compared with the journal on patient’s conditions entered manually by medical personnel. The objective is to see the reliability of the score generated by the DSS. Unfortunately, due to some problems on the data, the outcome of this study can’t be used for reference. However, the method used can be repeated but with a better database storing the patient’s information.
format	Thesis
author	Mohd Hanafi, Mat Som
author_facet	Mohd Hanafi, Mat Som
author_sort	Mohd Hanafi, Mat Som
title	Machine learning analysis of multiparameter home telecare clinical measurement data for patient health stratification
title_short	Machine learning analysis of multiparameter home telecare clinical measurement data for patient health stratification
title_full	Machine learning analysis of multiparameter home telecare clinical measurement data for patient health stratification
title_fullStr	Machine learning analysis of multiparameter home telecare clinical measurement data for patient health stratification
title_full_unstemmed	Machine learning analysis of multiparameter home telecare clinical measurement data for patient health stratification
title_sort	machine learning analysis of multiparameter home telecare clinical measurement data for patient health stratification
granting_institution	University of New South Wales
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/40858/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/40858/2/Full%20text.pdf
_version_	1747836810792271872

Machine learning analysis of multiparameter home telecare clinical measurement data for patient health stratification

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