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

Diabetes Technology Around the World (18) Machine Learning (1383)

Published on in Vol 3, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10212, first published .
Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study

Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study

Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study

Authors of this article:

Katsutoshi Maeta1 Author Orcid Image ;   Yu Nishiyama1 Author Orcid Image ;   Kazutoshi Fujibayashi2 Author Orcid Image ;   Toshiaki Gunji3 Author Orcid Image ;   Noriko Sasabe3 Author Orcid Image ;   Kimiko Iijima3 Author Orcid Image ;   Toshio Naito2 Author Orcid Image
Article Authors Cited by (19) Tweetations (1) Metrics

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  3. Abbas H, Alic L, Erraguntla M, Ji J, Abdul-Ghani M, Abbasi Q, Qaraqe M, Pławiak P. Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test. PLOS ONE 2019;14(12):e0219636 View
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  15. Shrestha B, Alsadoon A, Prasad P, Al-Naymat G, Al-Dala’in T, Rashid T, Alsadoon O. Enhancing the prediction of type 2 diabetes mellitus using sparse balanced SVM. Multimedia Tools and Applications 2022;81(27):38945 View
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