Modeling Health Related Quality of Life among Cancer Patients Using an Integrated Inference System and Linear Regression

Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/5297

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DC Field	Value	Language
dc.contributor.author	Lazim Abdullah	-
dc.date.accessioned	2017-04-05T08:22:23Z	-
dc.date.available	2017-04-05T08:22:23Z	-
dc.date.issued	2015-01-02	-
dc.identifier.uri	http://hdl.handle.net/123456789/5297	-
dc.description.abstract	Health Related Quality of Life (HRQL) is one of the increasing subjects used for assessing health condition among patients who suffer from specific diseases or ailment. It has been assumed that identification of the variables is able to mirror the one’s overall health conditions. However, devising the extent of contribution of multiple variables towards overall health conditions is not straight forward as the arbitrary nature of HRQL variables.	en_US
dc.language.iso	en	en_US
dc.publisher	International Journal of Pharma Medicine and Biological Sciences	en_US
dc.subject	Jia Yu Low	en_US
dc.title	Modeling Health Related Quality of Life among Cancer Patients Using an Integrated Inference System and Linear Regression	en_US
dc.type	Article	en_US
Appears in Collections:	Journal Articles

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