Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/68342
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dc.contributor.authorKrit Khwanngernen_US
dc.contributor.authorJuggapong Natwichaien_US
dc.contributor.authorSuriya Sitthikhamen_US
dc.contributor.authorWatcharaporn Sitthikamtiuben_US
dc.contributor.authorVivatchai Kaveetaen_US
dc.contributor.authorArakin Rakchittapokeen_US
dc.contributor.authorSomboon Martkamjanen_US
dc.date.accessioned2020-04-02T15:25:17Z-
dc.date.available2020-04-02T15:25:17Z-
dc.date.issued2020-01-01en_US
dc.identifier.issn21945365en_US
dc.identifier.issn21945357en_US
dc.identifier.other2-s2.0-85071489062en_US
dc.identifier.other10.1007/978-3-030-29029-0_44en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85071489062&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/68342-
dc.description.abstract© Springer Nature Switzerland AG 2020. In this paper, we present a design for the healthcare system which extends the existing medical cloud services in order to overcome the challenges of searching the new patients and following-up the existing patients. We explain that the existing platforms are working on different healthcare levels, with separate groups of users, and on different devices. We introduce additional design of the system which acts as a bridge between these platforms. Utilizing the aspect of crowdsourcing and online data sharing, the system can benefits contributors by significantly reduce the amount of time, cost and workload of all users in the system.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleCrowdsourcing platform for healthcare: cleft lip and cleft palate case studiesen_US
dc.typeBook Seriesen_US
article.title.sourcetitleAdvances in Intelligent Systems and Computingen_US
article.volume1036en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsMIMO Tech Company Limiteden_US
Appears in Collections:CMUL: Journal Articles

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