Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System

BACKGROUND: With diabetes incidence growing globally and metformin still being the first-line for its treatment, metformin’s toxicity and overdose have been increasing. Hence, its mortality rate is increasing. For the first time, we aimed to study the efficacy of machine learning algorithms in predi...

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Detalles Bibliográficos
Autores principales: Mehrpour, Omid, Saeedi, Farhad, Hoyte, Christopher, Goss, Foster, Shirazi, Farshad M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281002/
https://www.ncbi.nlm.nih.gov/pubmed/35831909
http://dx.doi.org/10.1186/s40360-022-00588-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281002/
https://www.ncbi.nlm.nih.gov/pubmed/35831909
http://dx.doi.org/10.1186/s40360-022-00588-0

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