Reliable data collection in participatory trials to assess digital healthcare applicationsDigital Healthcare Application들을 평가하기 위한 참여 시험의 신뢰도 있는 데이터 수집 방법 연구

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dc.contributor.advisorLee, Doheon-
dc.contributor.advisor이도헌-
dc.contributor.authorPark, Junseok-
dc.date.accessioned2021-05-12T19:42:58Z-
dc.date.available2021-05-12T19:42:58Z-
dc.date.issued2020-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=924267&flag=dissertationen_US
dc.identifier.urihttp://hdl.handle.net/10203/284307-
dc.description학위논문(박사) - 한국과학기술원 : 바이오및뇌공학과, 2020.8,[vi, 92 p. :]-
dc.description.abstractthus, developers and end users can easily exchange them in the marketplace. However, existing platforms are unsuitable for collecting reliable data for evaluating the effectiveness of the applications. Moreover, these platforms reflect only the perspectives of developers and experts, and not of end users. For instance, typical clinical trial data collection methods are not appropriate for participant-driven assessment of healthcare applications because of their complexity and high cost. Thus, we identified the need for a participant-driven data collection platform for end users that is interpretable, systematic, and sustainable, as a first step to validate the effectiveness of the applications. To collect reliable data in the participatory trial format, we defined distinct stages for data preparation, storage, and sharing. The interpretable data preparation consists of a protocol database system and semantic feature retrieval method that allow a person without professional knowledge to create a protocol. The systematic data storage stage includes calculation of the collected data reliability weight. For sustainable data collection, we integrated a weight method and a future reward distribution function. We validated the methods through statistical tests involving 718 human participants. The results of a validation experiment demonstrate that the compared methods differ significantly and prove that the choice of an appropriate method is essential for reliable data collection, to facilitate effectiveness validation of digital healthcare applications. Furthermore, we created a Web-based system for our pilot platform to collect reliable data in an integrated pipeline. We compared the platform features using existing clinical and pragmatic trial data collection platforms.-
dc.description.abstractThe 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 of healthcare applications is considered safe-
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectDigital health▼aDigital healthcare app data collection platform▼aCrowdsourcing▼aParticipatory tiral▼aBiomedical informatics-
dc.subject디지털 헬스케어▼a디지털 헬스케어 앱 데이터 수집 플랫폼▼a크라우드소싱▼a참여시험▼a생명정보학-
dc.titleReliable data collection in participatory trials to assess digital healthcare applications-
dc.title.alternativeDigital Healthcare Application들을 평가하기 위한 참여 시험의 신뢰도 있는 데이터 수집 방법 연구-
dc.typeThesis(Ph.D)-
dc.identifier.CNRN325007-
dc.description.department한국과학기술원 :바이오및뇌공학과,-
dc.contributor.alternativeauthor박준석-
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