Predicting eating disorders from Internet activity-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predicting eating disorders from Internet activity

Published:2020-07-24 Issue:9 Volume:53 Page:1526-1533
ISSN:0276-3478
Container-title:International Journal of Eating Disorders
language:en
Short-container-title:Int J Eat Disord

Author:

Sadeh‐Sharvit Shiri¹²^ORCID,Fitzsimmons‐Craft Ellen E.³^ORCID,Taylor C. Barr²⁴^ORCID,Yom‐Tov Elad⁵^ORCID

Affiliation:

1. Baruch Ivcher School of Psychology Interdisciplinary Center Herzliya Israel

2. Center for m2Health Palo Alto University Palo Alto California USA

3. Department of Psychiatry Washington University School of Medicine St. Louis Missouri USA

4. Stanford University Stanford California USA

5. Microsoft Research Herzliya Israel

Funder

National Institute of Mental Health

National Institutes of Health

Publisher

Wiley

Subject

Psychiatry and Mental health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eat.23338

Reference46 articles.

1. Perceived barriers and facilitators towards help-seeking for eating disorders: A systematic review

2. Diagnostic and Statistical Manual of Mental Disorders

3. Asch J. M. Asch D. A. Klinger E. V. Marks J. Sadek N. &Merchant R. M.(2019). Google search histories of patients presenting to an emergency department: an observational study. doi:https://doi.org/10.1136/bmjopen-2018-024791

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review of machine learning solutions for eating disorders;International Journal of Medical Informatics;2024-09

2. A survey on detecting mental disorders with natural language processing: Literature review, trends and challenges;Computer Science Review;2024-08

3. Harnessing Internet Search Data as a Potential Tool for Medical Diagnosis (Preprint);2024-06-11

4. Systematic review of health research using internet search data;2024-06-04

5. Harnessing Internet Search Data as a Potential Tool for Medical Diagnosis;2024-05-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3