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

被引:0
作者
Omid Mehrpour
Farhad Saeedi
Samaneh Nakhaee
Farbod Tavakkoli Khomeini
Ali Hadianfar
Alireza Amirabadizadeh
Christopher Hoyte
机构
[1] Southern Methodist University,Data Science Institute
[2] Birjand University of Medical Sciences,Medical Toxicology and Drug Abuse Research Center (MTDRC)
[3] Birjand University of Medical Sciences,Student Research Committee
[4] Mashhad University of Medical Sciences,Department of Epidemiology and Biostatistics
[5] Shahid Beheshti University of Medical Sciences,Endocrine Research Center, Research Institute for Endocrine Sciences
[6] University of Colorado Anschutz Medical Campus,undefined
来源
BMC Medical Informatics and Decision Making | / 23卷
关键词
Biguanide; Sulfonylurea; Overdose; Decision tree; National Poison Data System; NPDS;
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