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dc.contributor.authorFahim, Muhammad
dc.contributor.authorAmin, M.B.
dc.contributor.authorKhan, W.A.
dc.contributor.authorAfzel, M.
dc.contributor.authorAhmad, M.
dc.contributor.authorAli, M.
dc.contributor.authorLee, S.
dc.date.accessioned2020-12-20T06:50:11Z
dc.date.available2020-12-20T06:50:11Z
dc.date.issued2015
dc.identifier.isbn9783319164793
dc.identifier.issn0302-9743
dc.identifier.urihttps://doi.org/10.1007/978-3-319-16480-9_14
dc.identifier.urihttps://hdl.handle.net/20.500.12436/1939
dc.descriptionAlgorithms for Molecular Biology;BioData Mining;BioMed Central;CITIC-UGR;E-Health Business Development BULL;Faculty of Sciences, Universidad de Granada;GigaScience;Harmonic Pharma;IEEE Computational Intelligence Society;Journal of Biomedical Semantics;Source Code for Biology and Medicineen_US
dc.description3rd International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015 -- 15 April 2015 through 17 April 2015 -- -- 115599en_US
dc.description.abstractModern digital technologies are paving the path to a revolutionary new concept of health and wellness care. Nowadays, many new solutions are being released and put at the reach of most consumers for promoting their health and wellness self-management. However, most of these applications are of very limited use, arguable accuracy and scarce interoperability with other similar systems. Accordingly, frameworks that may orchestrate, and intelligently leverage, all the data, information and knowledge generated through these systems are particularly required. This work introduces Mining Minds, an innovative framework that builds on some of the most prominent modern digital technologies, such as Big Data, Cloud Computing, and Internet of Things, to enable the provision of personalized healthcare and wellness support. This paper aims at describing the efficient and rational combination and interoperation of these technologies, as well as their integration with current and future personalized health and wellness services and business. © Springer International Publishing Switzerland 2015.en_US
dc.language.isoengen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.identifier.doi10.1007/978-3-319-16480-9_14en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHuman behavioren_US
dc.subjectContext-awarenessen_US
dc.subjectBig dataen_US
dc.subjectBig informationen_US
dc.subjectBig knowledgeen_US
dc.subjectCloud computingen_US
dc.subjectQuantified selfen_US
dc.subjectDigital healthen_US
dc.subjectHealth devicesen_US
dc.subjectSocial networksen_US
dc.subjectUser interfaceen_US
dc.subjectUser experienceen_US
dc.subjectKnowledge basesen_US
dc.subjectPersonalized recommendationsen_US
dc.titleAn innovative platform for person-centric health and wellness supporten_US
dc.typeconferenceObjecten_US
dc.departmentMühendislik ve Doğa Bilimleri Fakültesien_US
dc.identifier.volume9044en_US
dc.identifier.startpage31en_US
dc.identifier.endpage140en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.institutionauthorFahim, Muhammad
dc.department-tempBanos, O., Department of Computer Engineering, Kyung Hee University, South Korea; Amin, M.B., Department of Computer Engineering, Kyung Hee University, South Korea; Khan, W.A., Department of Computer Engineering, Kyung Hee University, South Korea; Afzel, M., Department of Computer Engineering, Kyung Hee University, South Korea; Ahmad, M., Department of Computer Engineering, Kyung Hee University, South Korea; Ali, M., Department of Computer Engineering, Kyung Hee University, South Korea; Ali, T., Department of Computer Engineering, Kyung Hee University, South Korea; Ali, R., Department of Computer Engineering, Kyung Hee University, South Korea; Bilal, M., Department of Computer Engineering, Kyung Hee University, South Korea; Han, M., Department of Computer Engineering, Kyung Hee University, South Korea; Hussain, J., Department of Computer Engineering, Kyung Hee University, South Korea; Hussain, M., Department of Computer Engineering, Kyung Hee University, South Korea; Hussain, S., Department of Computer Engineering, Kyung Hee University, South Korea; Hur, T.H., Department of Computer Engineering, Kyung Hee University, South Korea; Bang, J.H., Department of Computer Engineering, Kyung Hee University, South Korea; Huynh-The, T., Department of Computer Engineering, Kyung Hee University, South Korea; Idris, M., Department of Computer Engineering, Kyung Hee University, South Korea; Kang, D.W., Department of Computer Engineering, Kyung Hee University, South Korea; Park, S.B., Department of Computer Engineering, Kyung Hee University, South Korea; Siddiqui, H., Department of Computer Engineering, Kyung Hee University, South Korea; Vui, L.-B., Department of Computer Engineering, Kyung Hee University, South Korea; Fahim, M., Department of Computer Engineering, Istanbul Sabahattin Zaim University, Turkey; Khattak, A.M., College of Technological Innovation, Zayed University, United Arab Emirates; Kang, B.H., School of Computing and Information Systems, University of Tasmania, Australia; Lee, S., Department of Computer Engineering, Kyung Hee University, South Koreaen_US


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