This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1166)

Published on in Vol 17, No 1 (2015): January

Automatic Identification of Web-Based Risk Markers for Health Events

Automatic Identification of Web-Based Risk Markers for Health Events

Automatic Identification of Web-Based Risk Markers for Health Events

Authors of this article:

Elad Yom-Tov 1 Author Orcid Image ;   Diana Borsa 2 Author Orcid Image ;   Andrew C Hayward 3 Author Orcid Image ;   Rachel A McKendry 4 Author Orcid Image ;   Ingemar J Cox 5, 6 Author Orcid Image
Article Authors Cited by (21) Tweetations (23) Metrics

Journals

  1. Barros J, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680 View
  2. Yom-Tov E, Marino B, Pai J, Harris D, Wolf M. The Effect of Limited Health Literacy on How Internet Users Learn About Diabetes. Journal of Health Communication 2016;21(10):1107 View
  3. Yom-Tov E. Screening for Cancer Using a Learning Internet Advertising System. ACM Transactions on Computing for Healthcare 2020;1(2):1 View
  4. Yom-Tov E, Brunstein-Klomek A, Hadas A, Tamir O, Fennig S. Differences in physical status, mental state and online behavior of people in pro-anorexia web communities. Eating Behaviors 2016;22:109 View
  5. Yom-Tov E. Demographic differences in search engine use with implications for cohort selection. Information Retrieval Journal 2019;22(6):570 View
  6. Youngmann B, Allerhand L, Paltiel O, Yom‐Tov E, Arkadir D. A machine learning algorithm successfully screens for Parkinson's in web users. Annals of Clinical and Translational Neurology 2019;6(12):2503 View
  7. Nayak S, Blumenfeld N, Laksanasopin T, Sia S. Point-of-Care Diagnostics: Recent Developments in a Connected Age. Analytical Chemistry 2017;89(1):102 View
  8. Lebwohl B, Yom-Tov E. Symptoms Prompting Interest in Celiac Disease and the Gluten-Free Diet: Analysis of Internet Search Term Data. Journal of Medical Internet Research 2019;21(4):e13082 View
  9. Hochberg I, Daoud D, Shehadeh N, Yom-Tov E. Can internet search engine queries be used to diagnose diabetes? Analysis of archival search data. Acta Diabetologica 2019;56(10):1149 View
  10. Nitzburg G, Weber I, Yom-Tov E. Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis. Journal of Medical Internet Research 2019;21(5):e10946 View
  11. Yom-Tov E, Brunstein-Klomek A, Mandel O, Hadas A, Fennig S. Inducing Behavioral Change in Seekers of Pro-Anorexia Content Using Internet Advertisements: Randomized Controlled Trial. JMIR Mental Health 2018;5(1):e6 View
  12. Giat E, Yom-Tov E. Evidence From Web-Based Dietary Search Patterns to the Role of B12 Deficiency in Non-Specific Chronic Pain: A Large-Scale Observational Study. Journal of Medical Internet Research 2018;20(1):e4 View
  13. Yom-Tov E, Muennig P, El-Sayed A. Web-Based Antismoking Advertising to Promote Smoking Cessation: A Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(11):e306 View
  14. Davidson L, Boland M. Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes. Briefings in Bioinformatics 2021;22(5) View
  15. Youngmann B, Yom-Tov E. Intimate Partner Violence as Reflected in Internet Search Data. Social Science Computer Review 2023;41(5):1546 View
  16. Sanz-Lorente M, Moles-Caballero N, Wanden-Berghe C, Sanz-Valero J. Documentary quality versus veracity of information of the websites on syphilis and gonorrhea. Scientometrics 2021;126(11):8775 View

Books/Policy Documents

  1. Reuter J. FAQ Psychiatrie und Psychotherapie. View
  2. Denecke K, Bignens S, Bürkle T, Kim S, Lehmann M, Nüssli S, Sariyar M, Holm J. Digitale Transformation von Dienstleistungen im Gesundheitswesen VI. View
  3. Hersh W. Information Retrieval: A Biomedical and Health Perspective. View