Predicting 10-Year Risk of End-Organ Complications of Type 2 Diabetes With and Without Metabolic Surgery: A Machine Learning Approach

OBJECTIVE: To construct and internally validate prediction models to estimate the risk of long-term end-organ complications and mortality in patients with type 2 diabetes and obesity that can be used to inform treatment decisions for patients and practitioners who are considering metabolic surgery....

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Dettagli Bibliografici
Pubblicato in:Diabetes Care
Autori principali: Aminian, Ali, Zajichek, Alexander, Arterburn, David E., Wolski, Kathy E., Brethauer, Stacy A., Schauer, Philip R., Nissen, Steven E., Kattan, Michael W.
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Diabetes Association 2020
Soggetti:
Cardiovascular and Metabolic Risk
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7646205/
https://ncbi.nlm.nih.gov/pubmed/32029638
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2337/dc19-2057
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