Machine Learning for the Prediction of New-Onset Diabetes Mellitus during 5-Year Follow-up in Non-Diabetic Patients with Cardiovascular Risks

PURPOSE: Many studies have proposed predictive models for type 2 diabetes mellitus (T2DM). However, these predictive models have several limitations, such as user convenience and reproducibility. The purpose of this study was to develop a T2DM predictive model using electronic medical records (EMRs)...

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Detalles Bibliográficos
Autores principales: Choi, Byoung Geol, Rha, Seung-Woon, Kim, Suhng Wook, Kang, Jun Hyuk, Park, Ji Young, Noh, Yung-Kyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Yonsei University College of Medicine 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6342710/
https://www.ncbi.nlm.nih.gov/pubmed/30666841
http://dx.doi.org/10.3349/ymj.2019.60.2.191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6342710/
https://www.ncbi.nlm.nih.gov/pubmed/30666841
http://dx.doi.org/10.3349/ymj.2019.60.2.191

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