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

Hypotheses (5) New Methods (1037) Methods and Feasibility Studies (398) Crowdsourcing and Mechanical Turks (101)

Published on in Vol 6, No 5 (2017): May

Crowdsourced Identification of Possible Allergy-Associated Factors: Automated Hypothesis Generation and Validation Using Crowdsourcing Services

Crowdsourced Identification of Possible Allergy-Associated Factors: Automated Hypothesis Generation and Validation Using Crowdsourcing Services

Crowdsourced Identification of Possible Allergy-Associated Factors: Automated Hypothesis Generation and Validation Using Crowdsourcing Services

Authors of this article:

Eiji Aramaki1 Author Orcid Image ;   Shuko Shikata1 Author Orcid Image ;   Satsuki Ayaya2 Author Orcid Image ;   Shin-Ichiro Kumagaya2 Author Orcid Image
Article Authors Cited by (3) Tweetations (6) Metrics

Journals

  1. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187 View

Books/Policy Documents

  1. Antolín-Amérigo D, Alvarez-Perea A, Popescu F. Implementing Precision Medicine in Best Practices of Chronic Airway Diseases. View
  2. Popescu F, Dramburg S. Digital Allergology. View