Verifying the medical specialty from user profile of online community for health-related advices

Autor:	Solomia Fedushko, Shakhovska, Natalia, Syerov, Yuriy
Předmět:	Social and Information Networks (cs.SI) FOS: Computer and information sciences Computer Science - Computers and Society Computers and Society (cs.CY) Computer Science - Social and Information Networks
Zdroj:	ResearcherID Scopus-Elsevier Publons Web of Science
Popis:	The paper describes the verifying methods of medical specialty from user profile of online community for health-related advices. To avoid critical situations with the proliferation of unverified and inaccurate information in medical online community, it is necessary to develop a comprehensive software solution for verifying the user medical specialty of online community for health-related advices. The algorithm for forming the information profile of a medical online community user is designed. The scheme systems of formation of indicators of user specialization in the profession based on a training sample is presented. The method of forming the user information profile of online community for healthrelated advices by computer-linguistic analysis of the information content is suggested. The system of indicators based on a training sample of users in medical online communities is formed. The matrix of medical specialties indicators and method of determining weight coefficients these indicators is investigated. The proposed method of verifying the medical specialty from user profile is tested in online medical community. 10 pages, 5 figures
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0533288e51f8fd2279f30da91b81aab7 http://www.scopus.com/inward/record.url?eid=2-s2.0-85057802153&partnerID=MN8TOARS Zobrazit plný text záznamu