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Towards A Self Adaptive System for Social Wellness

Advancements in science and technology have highlighted the importance of robust healthcare services, lifestyle services and personalized recommendations. For this purpose patient daily life activity recognition, profile information, and patient personal experience are required. In this research wor...

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Autores principales: Khattak, Asad Masood, Khan, Wajahat Ali, Pervez, Zeeshan, Iqbal, Farkhund, Lee, Sungyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851045/
https://www.ncbi.nlm.nih.gov/pubmed/27089338
http://dx.doi.org/10.3390/s16040531
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author Khattak, Asad Masood
Khan, Wajahat Ali
Pervez, Zeeshan
Iqbal, Farkhund
Lee, Sungyoung
author_facet Khattak, Asad Masood
Khan, Wajahat Ali
Pervez, Zeeshan
Iqbal, Farkhund
Lee, Sungyoung
author_sort Khattak, Asad Masood
collection PubMed
description Advancements in science and technology have highlighted the importance of robust healthcare services, lifestyle services and personalized recommendations. For this purpose patient daily life activity recognition, profile information, and patient personal experience are required. In this research work we focus on the improvement in general health and life status of the elderly through the use of an innovative services to align dietary intake with daily life and health activity information. Dynamic provisioning of personalized healthcare and life-care services are based on the patient daily life activities recognized using smart phone. To achieve this, an ontology-based approach is proposed, where all the daily life activities and patient profile information are modeled in ontology. Then the semantic context is exploited with an inference mechanism that enables fine-grained situation analysis for personalized service recommendations. A generic system architecture is proposed that facilitates context information storage and exchange, profile information, and the newly recognized activities. The system exploits the patient’s situation using semantic inference and provides recommendations for appropriate nutrition and activity related services. The proposed system is extensively evaluated for the claims and for its dynamic nature. The experimental results are very encouraging and have shown better accuracy than the existing system. The proposed system has also performed better in terms of the system support for a dynamic knowledge-base and the personalized recommendations.
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spelling pubmed-48510452016-05-04 Towards A Self Adaptive System for Social Wellness Khattak, Asad Masood Khan, Wajahat Ali Pervez, Zeeshan Iqbal, Farkhund Lee, Sungyoung Sensors (Basel) Article Advancements in science and technology have highlighted the importance of robust healthcare services, lifestyle services and personalized recommendations. For this purpose patient daily life activity recognition, profile information, and patient personal experience are required. In this research work we focus on the improvement in general health and life status of the elderly through the use of an innovative services to align dietary intake with daily life and health activity information. Dynamic provisioning of personalized healthcare and life-care services are based on the patient daily life activities recognized using smart phone. To achieve this, an ontology-based approach is proposed, where all the daily life activities and patient profile information are modeled in ontology. Then the semantic context is exploited with an inference mechanism that enables fine-grained situation analysis for personalized service recommendations. A generic system architecture is proposed that facilitates context information storage and exchange, profile information, and the newly recognized activities. The system exploits the patient’s situation using semantic inference and provides recommendations for appropriate nutrition and activity related services. The proposed system is extensively evaluated for the claims and for its dynamic nature. The experimental results are very encouraging and have shown better accuracy than the existing system. The proposed system has also performed better in terms of the system support for a dynamic knowledge-base and the personalized recommendations. MDPI 2016-04-13 /pmc/articles/PMC4851045/ /pubmed/27089338 http://dx.doi.org/10.3390/s16040531 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Khattak, Asad Masood
Khan, Wajahat Ali
Pervez, Zeeshan
Iqbal, Farkhund
Lee, Sungyoung
Towards A Self Adaptive System for Social Wellness
title Towards A Self Adaptive System for Social Wellness
title_full Towards A Self Adaptive System for Social Wellness
title_fullStr Towards A Self Adaptive System for Social Wellness
title_full_unstemmed Towards A Self Adaptive System for Social Wellness
title_short Towards A Self Adaptive System for Social Wellness
title_sort towards a self adaptive system for social wellness
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851045/
https://www.ncbi.nlm.nih.gov/pubmed/27089338
http://dx.doi.org/10.3390/s16040531
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