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

Formative Evaluation of Digital Health Interventions (2491) Clinical Information and Decision Making (1434) Natural Language Processing (706) Ontologies, Classifications, and Coding (243) Clinical Informatics (1050)

Published on in Vol 6, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38677, first published .
Extraction and Quantification of Words Representing Degrees of Diseases: Combining the Fuzzy C-Means Method and Gaussian Membership

Extraction and Quantification of Words Representing Degrees of Diseases: Combining the Fuzzy C-Means Method and Gaussian Membership

Extraction and Quantification of Words Representing Degrees of Diseases: Combining the Fuzzy C-Means Method and Gaussian Membership

Authors of this article:

Feng Han1 Author Orcid Image ;   ZiHeng Zhang1 Author Orcid Image ;   Hongjian Zhang2 Author Orcid Image ;   Jun Nakaya3 Author Orcid Image ;   Kohsuke Kudo4 Author Orcid Image ;   Katsuhiko Ogasawara2 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Feng Han   1 , MSc ;   ZiHeng Zhang   1 , MSc ;   Hongjian Zhang   2 , MSc ;   Jun Nakaya   3 , MD ;   Kohsuke Kudo   4 , MD ;   Katsuhiko Ogasawara   2 , MBA, PhD

1 Graduate School of Medicine, Hokkaido University, Sapporo, Japan

2 Graduate School of Health Sciences, Medical Management and Informatics, Hokkaido University, Sapporo, Japan

3 Division of Advanced Diagnostic Imaging Development, Graduate School of Medicine, Hokkaido University, Sapporo, Japan

4 Department of Diagnostic Imaging, Faculty of Medicine, Hokkaido University, Sapporo, Japan

Corresponding Author:

  • Katsuhiko Ogasawara, MBA, PhD
  • Graduate School of Health Sciences
  • Medical Management and Informatics
  • Hokkaido University
  • N12 W5
  • Sapporo, 060-0812
  • Japan
  • Phone: 81 011-706-3409
  • Email: oga@hs.hokudai.ac.jp