A machine learning approach to predicting severe diabetes distress in adults with type 1 diabetes mellitus

This study developed a predictive model for severe diabetes distress using machine learning, incorporating both demographic and CGM metrics in adults with type 1 diabetes mellitus. The NN model demonstrated potential as a practical tool to assist clinicians in identifying individuals at risk of severe diabetes distress.

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Publication Details

Journal
Journal of Diabetes Investigation
Published
2026-02-18
DOI
https://doi.org/10.1111/jdi.70229
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
0.00

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article

A machine learning approach to predicting severe diabetes distress in adults with type 1 diabetes mellitus

Satoshi Kawashima, Naoki Sakane, Hideaki Sawaki, Sari Hoshina et al.
Journal of Diabetes Investigation
Diabetes Management and Research
article

A machine learning approach to predicting severe diabetes distress in adults with type 1 diabetes mellitus

Satoshi Kawashima, Naoki Sakane, Hideaki Sawaki, Sari Hoshina, Hiroko Takaike, Takashi Murata, Nobumichi Saito, Akiko Suganuma, Kiminori Hosoda, Masayuki Domichi, Yushi Hirota, Junnosuke Miura, Akane Yamamoto, Seiko Sakane, Atsuhito Tone, Tomokazu Matsuda, Masaki Matsubara, Masao Toyoda
article en

Abstract

This study developed a predictive model for severe diabetes distress using machine learning, incorporating both demographic and CGM metrics in adults with type 1 diabetes mellitus. The NN model demonstrated potential as a practical tool to assist clinicians in identifying individuals at risk of severe diabetes distress.

Journal of Diabetes Investigation
Tokai University (JP), Diabetes Australia (AU), Kyoto Medical Center (JP), Ijinkai Takeda General Hospital (JP), Kaneka (Japan) (JP), Tokyo Women's Medical University (JP), Okayama Saiseikai General Hospital (JP), Nara Medical University (JP), Kobe University (JP)
Japan Agency for Medical Research and Development, Tokyo Women's Medical University
Openalex Percentile: Top 54%
Diabetes Management and Research
DOIOpen Access PDFOpenAlex
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A machine learning approach to predicting severe diabetes distress in adults with type 1 diabetes mellitus — Satoshi Kawashima, Naoki Sakane, et al. · Journal of Diabetes Investigation (2026) | TGRS Research Map | TGRS