Human Data Model: Improving Programmability of Health and Well-Being Data for Enhanced Perception and Interaction

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Mäkitalo , N , Flores-Martin , D , Flores , H , Lagerspetz , E , Christophe , F , Ihantola , P , Babazadeh , M , Hui , P , Murillo , J M , Tarkoma , S & Mikkonen , T 2020 , ' Human Data Model: Improving Programmability of Health and Well-Being Data for Enhanced Perception and Interaction ' , ACM Transactions on Computing for Healthcare , vol. 1 , no. 4 . https://doi.org/10.1145/3402524

Title: Human Data Model: Improving Programmability of Health and Well-Being Data for Enhanced Perception and Interaction
Author: Mäkitalo, Niko; Flores-Martin, Daniel; Flores, Huber; Lagerspetz, Eemil; Christophe, Francois; Ihantola, Petri; Babazadeh, Masiar; Hui, Pan; Murillo, Juan Manuel; Tarkoma, Sasu; Mikkonen, Tommi
Contributor organization: Empirical Software Engineering research group
Department of Computer Science
Department of Education
Content-Centric Structures and Networking research group / Sasu Tarkoma
Helsinki Institute for Information Technology
Mind and Matter
Maker@STEAM
Date: 2020-09
Language: eng
Number of pages: 39
Belongs to series: ACM Transactions on Computing for Healthcare
ISSN: 2637-8051
DOI: https://doi.org/10.1145/3402524
URI: http://hdl.handle.net/10138/322899
Subject: 113 Computer and information sciences
315 Sport and fitness sciences
Peer reviewed: Yes
Rights: other
Usage restriction: closedAccess


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