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

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

Abstract 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 di...

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Bibliographic Details
Main Authors: Omid Mehrpour, Farhad Saeedi, Samaneh Nakhaee, Farbod Tavakkoli Khomeini, Ali Hadianfar, Alireza Amirabadizadeh, Christopher Hoyte
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Biguanide
Sulfonylurea
Overdose
Decision tree
National Poison Data System
NPDS
Online Access:https://doi.org/10.1186/s12911-022-02095-y

Internet

https://doi.org/10.1186/s12911-022-02095-y

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