An innovative platform for person-centric health and wellness support

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.departmentMühendislik ve Doğa Bilimleri Fakültesi
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 Medicine
dc.description3rd International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015 -- 15 April 2015 through 17 April 2015 -- -- 115599
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.
dc.identifier.doi10.1007/978-3-319-16480-9_14
dc.identifier.endpage140
dc.identifier.isbn9783319164793
dc.identifier.issn0302-9743
dc.identifier.scopusqualityQ3
dc.identifier.startpage31
dc.identifier.urihttps://doi.org/10.1007/978-3-319-16480-9_14
dc.identifier.urihttps://hdl.handle.net/20.500.12436/1939
dc.identifier.volume9044
dc.indekslendigikaynakScopus
dc.institutionauthorFahim, Muhammad
dc.language.isoen
dc.publisherSpringer Verlag
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectHuman behavior
dc.subjectContext-awareness
dc.subjectBig data
dc.subjectBig information
dc.subjectBig knowledge
dc.subjectCloud computing
dc.subjectQuantified self
dc.subjectDigital health
dc.subjectHealth devices
dc.subjectSocial networks
dc.subjectUser interface
dc.subjectUser experience
dc.subjectKnowledge bases
dc.subjectPersonalized recommendations
dc.titleAn innovative platform for person-centric health and wellness support
dc.typeConference Object
dspace.entity.typePublication

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