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: University of Helsinki, Empirical Software Engineering research group / Tomi Männistö
University of Helsinki, University of Tartu
University of Helsinki, Department of Computer Science
University of Helsinki, Häme University of Applied Sciences
University of Helsinki, Department of Education
University of Helsinki, Department of Computer Science
University of Helsinki, Content-Centric Structures and Networking research group / Sasu Tarkoma
University of Helsinki, Department of Computer Science
Date: 2020-09
Language: eng
Number of pages: 39
Belongs to series: ACM Transactions on Computing for Healthcare
ISSN: 2637-8051
URI: http://hdl.handle.net/10138/322899
Subject: 113 Computer and information sciences
315 Sport and fitness sciences
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