Verifying the Medical Specialty from User Profile of Online Community for Health-Related Advices

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.

[1]  Yuriy Syerov,et al.  Protection of University Information Image from Focused Aggressive Actions , 2016, ICONS 2016.

[2]  Yuriy Syerov,et al.  Internet Social Environmental Platforms Data Representation , 2018, 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).

[3]  Yuriy Syerov,et al.  Method of the Data Adequacy Determination of Personal Medical Profiles , 2018 .

[4]  Yuriy Syerov,et al.  Methods of Determining Information Support of Web Community User Personal Data Verification System , 2017, AUTOMATION.

[5]  I S Kohane,et al.  Growth and determinants of access in patient e-mail and Internet use. , 2000, Archives of pediatrics & adolescent medicine.

[6]  Nataliya Shakhovska,et al.  The Sequential Associative Rules Analysis of Patient's Physical Characteristics , 2018, IDDM.

[7]  G D Lundberg,et al.  Assessing, controlling, and assuring the quality of medical information on the Internet: Caveant lector et viewor--Let the reader and viewer beware. , 1997, JAMA.

[8]  Martin Dawes,et al.  Knowledge management in clinical practice: a systematic review of information seeking behavior in physicians , 2003, Int. J. Medical Informatics.

[9]  Effie Simou.  Health information sources: trust and satisfaction , 2015 .

[10]  Isidro F. Aguillo.  A new generation of tools for search, recovery and quality evaluation of World Wide Web medical resources. , 2000 .

[11]  Solomia Fedushko.  Development of a software for computer-linguistic verification of socio-demographic profile of web-community member , 2014, Webology.

[12]  A. Alman,et al.  Use of the Internet by patients and their families to obtain genetics-related information. , 2001, Mayo Clinic proceedings.

[13]  Hyunmin Kim,et al.  Seeking Medical Information Using Mobile Apps and the Internet: Are Family Caregivers Different from the General Public? , 2017, Journal of Medical Systems.

[14]  Gary L. Kreps,et al.  Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. , 2005, Archives of internal medicine.

[15]  Yuriy Syerov,et al.  Validation of the user accounts personal data of online academic community , 2016, 2016 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET).

[16]  Todd H Wagner,et al.  Who searches the internet for health information? , 2006, Health services research.