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[해외논문] Reliable Data Collection in Participatory Trials to Assess Digital Healthcare Applications 원문보기

IEEE access : practical research, open solutions, v.8, 2020년, pp.79472 - 79490  

Park, Junseok (Korea Advanced Institute of Science and Technology (KAIST), Bio-Synergy Research Centre, Daejeon, South Korea) ,  Park, Seongkuk (Information Electronics Research Institute, KAIST, Daejeon, South Korea) ,  Kim, Gwangmin (Korea Advanced Institute of Science and Technology (KAIST), Bio-Synergy Research Centre, Daejeon, South Korea) ,  Kim, Kwangmin (Korea Advanced Institute of Science and Technology (KAIST), Bio-Synergy Research Centre, Daejeon, South Korea) ,  Jung, Jaegyun (KAIST, Bio-Synergy Research Centre, Daejeon, South Korea) ,  Yoo, Sunyong (Chonnam National University, School of Electronics and Computer Engineering, Gwangju, South Korea) ,  Yi, Gwan-Su (Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea) ,  Lee, Doheon (Korea Advanced Institute of Science and Technology (KAIST), Bio-Synergy Research Centre, Daejeon, South Korea South Korea<)

Abstract AI-Helper 아이콘AI-Helper

The number of digital healthcare mobile applications in the market is exponentially increasing owing to the development of mobile networks and widespread usage of smartphones. However, only few of these applications have been adequately validated. Like many mobile applications, in general, the use o...

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