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Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium-glucose co-transporter-2 inhibitors with those receiving dipeptidyl peptidase-4 inhibitors, using a supervised machine-learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database.

Fang Liz ZhouHirotaka WatadaYuki TajimaMathilde BerthelotDian KangCyril EsnaultYujin ShutoHiroshi MaegawaDaisuke Koya
Published in: Diabetes, obesity & metabolism (2019)
SGLT2 inhibitors were associated with more favourable RFP vs. DPP-4 inhibitors in patients with certain profiles in real-world settings in Japan.
Keyphrases
  • machine learning
  • healthcare
  • artificial intelligence
  • deep learning
  • big data
  • adverse drug