biostudies-literatureUnknown9(1)Fujihara K<h4>Background</h4>Applications of machine learning for the early detection of diseases for which a clear-cut diagnostic gold standard exists have been evaluated. However, little is known about the usefulness of machine learning approaches in the decision-making process for decisions such as insulin initiation by diabetes specialists for which no absolute standards exist in clinical settings.<h4>Objective</h4>The objectives of this study were to examine the ability of machine learning models to predict insulin initiation by specialists and whether the machine learning approach could support decision making by general physicians for insulin initiation in patients with type 2 diabetes.<h4>Methods</h4>Data from patients prescribed hypoglycemic agents from December 2009 to March 2015 were extrJMIR medical informaticse22148https://www.ebi.ac.uk/biostudies/studies/S-EPMC7875702biostudies-literatureMachine Learning Approach to Decision Making for Insulin Initiation in Japanese Patients With Type 2 Diabetes (JDDM 58): Model Development and Validation Study.PMC7875702Kodama SYamamoto MIizuka TMaegawa HSone HFujihara KHarada Yamada MHasegawa YMatsubayashi YYamazaki TMiyamura KfalseMachine Learning Approach to Decision Making for Insulin Initiation in Japanese Patients With Type 2 Diabetes (JDDM 58): Model Development and Validation Study.<h4>Background</h4>Applications of machine learning for the early detection of diseases for which a clear-cut diagnostic gold standard exists have been evaluated. However, little is known about the usefulness of machine learning approaches in the decision-making process for decisions such as insulin initiation by diabetes specialists for which no absolute standards exist in clinical settings.<h4>Objective</h4>The objectives of this study were to examine the ability of machine learning models to predict insulin initiation by specialists and whether the machine learning approach could support decision making by general physicians for insulin initiation in patients with type 2 diabetes.<h4>Methods</h4>Data from patients prescribed hypoglycemic agents from December 2009 to March 2015 were extr2021-01-01T00:00:00Z2021 Jan2025-04-21T17:50:58.09Z2021-02-25T09:05:47ZS-EPMC78757023350232510.2196/22148