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Machine Learning Approach to Decision Making for Insulin Initiation in Japanese Patients With Type 2 Diabetes (JDDM 58): Model Development and Validation Study.

Kazuya FujiharaYasuhiro MatsubayashiMayuko Harada YamadaMasahiko YamamotoToshihiro IizukaKosuke MiyamuraYoshinori HasegawaHiroshi MaegawaSatoru KodamaTatsuya YamazakiHirohito Sone
Published in: JMIR medical informatics (2021)
Although we found no superior performance of machine learning over logistic regression, machine learning had higher accuracy in prediction of insulin initiation than general physicians, defined by diabetes specialists' choice of the gold standard. Further study is needed before the use of machine learning-based decision support systems for insulin initiation can be incorporated into clinical practice.
Keyphrases
  • machine learning
  • type diabetes
  • glycemic control
  • artificial intelligence
  • decision making
  • big data
  • clinical practice
  • primary care
  • deep learning
  • insulin resistance
  • metabolic syndrome
  • adipose tissue