Detecting Low-Credibility Medical Websites Through Semi-Supervised Learning Techniques-Reference-Cited by-同舟云学术

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Detecting Low-Credibility Medical Websites Through Semi-Supervised Learning Techniques

Published:2023 Issue: Volume:11 Page:142464-142477
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fernández César González¹^ORCID,De Diego Isaac Martín¹^ORCID,Fernández-Isabel Alberto¹^ORCID,Viseu Juan Fernando Jiménez²^ORCID,Barriuso Adrián Alonso³^ORCID

Affiliation:

1. Data Science Laboratory, Rey Juan Carlos University, Móstoles, Spain

2. Instituto de Investigación Biomédica de Salamanca, Complejo Asistencial Universitario de Salamanca Hospital Virgen de la Vega, Salamanca, Spain

3. Dezzai, Las Rozas de Madrid, Madrid, Spain

Funder

Spanish Ministry of Economy and Competitiveness under the Retos-Colaboración Program: SABERMED

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10353920.pdf?arnumber=10353920

Reference58 articles.

1. Impact of the Internet on Patient-Physician Communication

2. Beyond misinformation: Understanding and coping with the “post-truth” era.

3. Health benefits and risks of the Internet;Levy;J. Med. Syst.,2002

4. Telemedicine;Wootton;Bmj,2001

5. Teleconferencing Surgery Enhances Effective Communication and Enriches Medical Education

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