Prediction of Nephropathy in Type 2 Diabetes: An Analysis of the ACCORD Trial Applying Machine Learning Techniques

Applying data mining and machine learning (ML) techniques to clinical data might identify predictive biomarkers for diabetic nephropathy (DN), a common complication of type 2 diabetes mellitus (T2DM). A retrospective analysis of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial wa...

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Detalles Bibliográficos
Autores principales: Rodriguez‐Romero, Violeta, Bergstrom, Richard F., Decker, Brian S., Lahu, Gezim, Vakilynejad, Majid, Bies, Robert R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742939/
https://www.ncbi.nlm.nih.gov/pubmed/31112000
http://dx.doi.org/10.1111/cts.12647

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742939/
https://www.ncbi.nlm.nih.gov/pubmed/31112000
http://dx.doi.org/10.1111/cts.12647

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