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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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Bibliographic Details
Main Author: Mohd Hanafi, Mat Som
Format: Thesis
Language:English
Published: University of New South Wales 2016
Subjects:
Home telecare
Medical decision support system (DSS)
Machine learning analysis
Patient data
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40858
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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 Home telecare Medical decision support system (DSS) Machine learning analysis Patient data 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. 2016-02-04T04:39:18Z 2016-02-04T04:39:18Z 2008-07 Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40858 en University of New South Wales
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
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
publisher University of New South Wales
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40858
_version_ 1643799416135483392
score 13.222552

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