Connection
Christopher Hoyte to Decision Trees
This is a "connection" page, showing publications Christopher Hoyte has written about Decision Trees.
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0.556 |
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Mehrpour O, Saeedi F, Nakhaee S, Tavakkoli Khomeini F, Hadianfar A, Amirabadizadeh A, Hoyte C. 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. BMC Med Inform Decis Mak. 2023 04 06; 23(1):60.
Score: 0.211
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Mehrpour O, Saeedi F, Hoyte C. Decision tree outcome prediction of acute acetaminophen exposure in the United States: A study of 30,000 cases from the National Poison Data System. Basic Clin Pharmacol Toxicol. 2022 Jan; 130(1):191-199.
Score: 0.191
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Mehrpour O, Hoyte C, Nakhaee S, Megarbane B, Goss F. Using a decision tree algorithm to distinguish between repeated supra-therapeutic and acute acetaminophen exposures. BMC Med Inform Decis Mak. 2023 06 01; 23(1):102.
Score: 0.053
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Mehrpour O, Saeedi F, Hoyte C, Goss F, Shirazi FM. 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. BMC Pharmacol Toxicol. 2022 07 13; 23(1):49.
Score: 0.050
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Mehrpour O, Hoyte C, Goss F, Shirazi FM, Nakhaee S. Decision tree algorithm can determine the outcome of repeated supratherapeutic ingestion (RSTI) exposure to acetaminophen: review of 4500 national poison data system cases. Drug Chem Toxicol. 2023 Nov; 46(4):692-698.
Score: 0.050