Personalized medication reminder in m-health environment using rule-based expert system / Tengku Azuani Tengku Mohd Zabri

People have an intention to take medication as instructed, but failing to do so because of forgetful and careless. This is the major problem with unintentional medication non-adherence. Besides that, this problem will lead to slower recovery process and skew the clinical therapy. Moreover, non-adher...

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Main Author:	Tengku Mohd Zabri, Tengku Azuani
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Soft computing
Online Access:	https://ir.uitm.edu.my/id/eprint/14597/1/TD_TENGKU%20AZUANI%20TENGKU%20MOHD%20ZABRI%20CS%2015_5.pdf
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id	my-uitm-ir.14597
record_format	uketd_dc
spelling	my-uitm-ir.145972016-08-22T08:11:18Z Personalized medication reminder in m-health environment using rule-based expert system / Tengku Azuani Tengku Mohd Zabri 2015 Tengku Mohd Zabri, Tengku Azuani Soft computing People have an intention to take medication as instructed, but failing to do so because of forgetful and careless. This is the major problem with unintentional medication non-adherence. Besides that, this problem will lead to slower recovery process and skew the clinical therapy. Moreover, non-adherence attitudes may increase when patient slowly lose their trust in medication and doctors because a patient may start to think that the diagnosis is wrong or prescribed medication is not effective on them. In addition, people with chronic illness where have to deal with multiple dosage at the different time everyday tends to have this kind of problem. Thus, in order to promote medication adherence among chronic illness patient, this project is going to build a personalized medication reminder in Malay language on Android mobile application. This application will provide a monitor or remind the user about medication time within safe interval time. Meanwhile, a rule-based expert system method is going to be used for implementing this project with emphasis on personalized medication reminder. Agile approach is used in the project framework because of the flexible adjustment in the future. As the result, the application is able to remind users on medication time intake together with instruction details. This application hopefully may be able to strengthen medication adherence among user. It also might helpful for users to sort medication schedule and easier to handle since it is on their smartphone. As for future work, there are several enhancements could be done like flexible in frequency intake not just for daily medicine, support timecritical scheduled medication, available in other native language and other mobile platform, associated with user daily activity to support event-based on memory and last but not least provide audio or visual guiding that friendly to senior and disable people. 2015 Thesis https://ir.uitm.edu.my/id/eprint/14597/ https://ir.uitm.edu.my/id/eprint/14597/1/TD_TENGKU%20AZUANI%20TENGKU%20MOHD%20ZABRI%20CS%2015_5.pdf text en public other degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Soft computing
spellingShingle	Soft computing Tengku Mohd Zabri, Tengku Azuani Personalized medication reminder in m-health environment using rule-based expert system / Tengku Azuani Tengku Mohd Zabri
description	People have an intention to take medication as instructed, but failing to do so because of forgetful and careless. This is the major problem with unintentional medication non-adherence. Besides that, this problem will lead to slower recovery process and skew the clinical therapy. Moreover, non-adherence attitudes may increase when patient slowly lose their trust in medication and doctors because a patient may start to think that the diagnosis is wrong or prescribed medication is not effective on them. In addition, people with chronic illness where have to deal with multiple dosage at the different time everyday tends to have this kind of problem. Thus, in order to promote medication adherence among chronic illness patient, this project is going to build a personalized medication reminder in Malay language on Android mobile application. This application will provide a monitor or remind the user about medication time within safe interval time. Meanwhile, a rule-based expert system method is going to be used for implementing this project with emphasis on personalized medication reminder. Agile approach is used in the project framework because of the flexible adjustment in the future. As the result, the application is able to remind users on medication time intake together with instruction details. This application hopefully may be able to strengthen medication adherence among user. It also might helpful for users to sort medication schedule and easier to handle since it is on their smartphone. As for future work, there are several enhancements could be done like flexible in frequency intake not just for daily medicine, support timecritical scheduled medication, available in other native language and other mobile platform, associated with user daily activity to support event-based on memory and last but not least provide audio or visual guiding that friendly to senior and disable people.
format	Thesis
qualification_name	other
qualification_level	Bachelor degree
author	Tengku Mohd Zabri, Tengku Azuani
author_facet	Tengku Mohd Zabri, Tengku Azuani
author_sort	Tengku Mohd Zabri, Tengku Azuani
title	Personalized medication reminder in m-health environment using rule-based expert system / Tengku Azuani Tengku Mohd Zabri
title_short	Personalized medication reminder in m-health environment using rule-based expert system / Tengku Azuani Tengku Mohd Zabri
title_full	Personalized medication reminder in m-health environment using rule-based expert system / Tengku Azuani Tengku Mohd Zabri
title_fullStr	Personalized medication reminder in m-health environment using rule-based expert system / Tengku Azuani Tengku Mohd Zabri
title_full_unstemmed	Personalized medication reminder in m-health environment using rule-based expert system / Tengku Azuani Tengku Mohd Zabri
title_sort	personalized medication reminder in m-health environment using rule-based expert system / tengku azuani tengku mohd zabri
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2015
url	https://ir.uitm.edu.my/id/eprint/14597/1/TD_TENGKU%20AZUANI%20TENGKU%20MOHD%20ZABRI%20CS%2015_5.pdf
_version_	1783733298931957760

Personalized medication reminder in m-health environment using rule-based expert system / Tengku Azuani Tengku Mohd Zabri

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