Automatic Classification of Users’ Health Information Need Context: Logistic Regression Analysis of Mouse-Click and Eye-Tracker Data-Reference-Cited by-同舟云学术

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Automatic Classification of Users’ Health Information Need Context: Logistic Regression Analysis of Mouse-Click and Eye-Tracker Data

Published:2017-12-21 Issue:12 Volume:19 Page:e424
ISSN:1438-8871
Container-title:Journal of Medical Internet Research
language:en
Short-container-title:J Med Internet Res

Author:

Pian Wenjing^ORCID,Khoo Christopher SG^ORCID,Chi Jianxing^ORCID

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Reference45 articles.

1. The Prevalence of Online Health Information Seeking Among Patients in Scotland: A Cross-Sectional Exploratory Study

2. PewPewinternet20132015-12-27Health online http://www.pewinternet.org/2013/01/15/health-online-2013/

3. Trusting Social Media as a Source of Health Information: Online Surveys Comparing the United States, Korea, and Hong Kong

4. The Criteria People Use in Relevance Decisions on Health Information: An Analysis of User Eye Movements When Browsing a Health Discussion Forum

5. Impact of Predicting Health Care Utilization Via Web Search Behavior: A Data-Driven Analysis

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1. How users make judgements about the quality of online health information: a cross-sectional survey study;BMC Public Health;2022-11-01

2. Characteristics of the information needs of hypertension patients on online healthcare service platforms;2022 6th International Conference on Medical and Health Informatics;2022-05-13

3. How the users make the judgment on the quality of online health information: A cross-sectional survey study (Preprint);2022-03-14

4. Machine Learning–Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study;Journal of Medical Internet Research;2021-04-19

5. Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies;Expert Systems with Applications;2021-03

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