Cargando…
Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System
BACKGROUND: Biguanides and sulfonylurea are two classes of anti-diabetic medications that have commonly been prescribed all around the world. Diagnosis of biguanide and sulfonylurea exposures is based on history taking and physical examination; thus, physicians might misdiagnose these two different...
Autores principales: | Mehrpour, Omid, Saeedi, Farhad, Nakhaee, Samaneh, Tavakkoli Khomeini, Farbod, Hadianfar, Ali, Amirabadizadeh, Alireza, Hoyte, Christopher |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080923/ https://www.ncbi.nlm.nih.gov/pubmed/37024869 http://dx.doi.org/10.1186/s12911-022-02095-y |
Ejemplares similares
-
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
por: Mehrpour, Omid, et al.
Publicado: (2022) -
Correction: 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
por: Mehrpour, Omid, et al.
Publicado: (2022) -
Opium addiction as new source of lead poisoning: An emerging epidemic in Iran
por: Nakhaee, Samaneh, et al.
Publicado: (2018) -
Using a decision tree algorithm to distinguish between repeated supra-therapeutic and acute acetaminophen exposures
por: Mehrpour, Omid, et al.
Publicado: (2023) -
Clinical Features, Treatment, Prognosis, and Mortality in Paraquat Poisonings: A Hospital-Based Study in Iran
por: Oghabian, Zohreh, et al.
Publicado: (2019)