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

Hypotheses (2) New Methods (484) Methods and Feasibility Studies (181) Crowdsourcing and Mechanical Turks (69)

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 Aramaki 1 Author Orcid Image ;   Shuko Shikata 1 Author Orcid Image ;   Satsuki Ayaya 2 Author Orcid Image ;   Shin-Ichiro Kumagaya 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) 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 , JP

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

Corresponding Author:

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