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

Hypotheses (4) New Methods (964) Methods and Feasibility Studies (384) Crowdsourcing and Mechanical Turks (99)

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 (2) Tweetations (6) Metrics

Eiji Aramaki   1 , PhD ;   Shuko Shikata   1 , MA ;   Satsuki Ayaya   2 , BA ;   Shin-Ichiro Kumagaya   2 , MD, PhD

1 Social Computing Lab, Graduate School of Information Science, Nara Institute of Science and Technology, Ikoma, Japan

2 Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, Japan

Corresponding Author:

  • Eiji Aramaki, PhD
  • Social Computing Lab
  • Graduate School of Information Science
  • Nara Institute of Science and Technology
  • Takayama-cho
  • BLD.405
  • Ikoma, 630-0192
  • Japan
  • Phone: 81 0743-72-6065
  • Fax: 81 0743-72-6065
  • Email: aramaki@is.naist.jp