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 - Mehrpour, Omid; Saeedi, Farhad; Nakhaee, Samaneh; Tavakkoli Khomeini, Farbod; Hadianfar, Ali; Amirabadizadeh, Alireza; Hoyte, Christopher (BMC medical informatics and decision making, 2023)
Keywords: Accuracy; Acidosis; Algorithms; Biguanide; Biguanides; CFR; Classification; Data systems; Decision analysis; Decision making; Decision tree; Decision Trees; Diabetes; Diabetes mellitus; Diarrhea; Dosage and administration; Drug overdose; Evidence-based medicine; Exposure; Health Informatics; Human subjects; Humans; Hypoglycemia; Hypoglycemic agents; Information Systems and Communication Service; Learning algorithms; Machine Learning; Management of Computing and Information Systems; Medical diagnosis; Medicine; Medicine & Public Health; Methods; Model accuracy; National Poison Data System; NPDS; Overdose; Pain; Physicians; Poisoning; Poisons; Prediction models; Prevention; Recall; Retrospective Studies; Review boards; Risk factors; Sulfonylurea; Sulfonylurea Compounds; Support vector machines; Tremor; United States - epidemiology; Vomiting; United States; United States--US; Colorado; Overdose; Biguanide; National Poison Data System; NPDS; Decision tree; Sulfonylurea