A Machine Learning-Based Predictive Model to Identify Patients Who Failed to Attend a Follow-up Visit for Diabetes Care After Recommendations From a National Screening Program.
Akira OkadaYohei HashimotoTadahiro GotoSatoko YamaguchiSachiko OnoKayo Ikeda KurakawaMasaomi NangakuToshimasa YamauchiHideo YasunagaTakashi KadowakiPublished in: Diabetes care (2022)
The developed machine-learning model using four predictors had a good predictive ability to identify patients who failed to attend a follow-up visit for diabetes care after a screening program.