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

Machine Learning (1434) Clinical Information and Decision Making (1374) Registered Report (585) Decision Support for Health Professionals (1163)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18331, first published .
Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison

Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison

Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison

Authors of this article:

Masuda Begum Sampa1 Author Orcid Image ;   Md Nazmul Hossain2 Author Orcid Image ;   Md Rakibul Hoque3 Author Orcid Image ;   Rafiqul Islam4 Author Orcid Image ;   Fumihiko Yokota5 Author Orcid Image ;   Mariko Nishikitani4 Author Orcid Image ;   Ashir Ahmed1 Author Orcid Image
Article Authors Cited by (13) Tweetations Metrics

Masuda Begum Sampa   1 , PhD ;   Md Nazmul Hossain   2 , PhD ;   Md Rakibul Hoque   3 , PhD ;   Rafiqul Islam   4 , PhD ;   Fumihiko Yokota   5 , PhD ;   Mariko Nishikitani   4 , MPH, PhD ;   Ashir Ahmed   1 , PhD

1 Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan

2 Department of Marketing, Faculty of Business Studies, University of Dhaka, Dhaka, Bangladesh

3 School of Business, Emporia State University, Kansas, KS, United States

4 Medical Information Center, Kyushu University Hospital, Fukuoka, Japan

5 Institute of Decision Science for a Sustainable Society, Kyushu University, Fukuoka, Japan

Corresponding Author:

  • Masuda Begum Sampa, PhD
  • Department of Advanced Information Technology
  • Kyushu University
  • 744 Motooka, Nishi-ku
  • Fukuoka
  • Japan
  • Phone: 81 8079893966
  • Fax: 81 928023638
  • Email: sampa@kyudai.jp