 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Christopher Hoyte and Foster Goss.
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Connection Strength |
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0.777 |
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Mehrpour O, Hoyte C, Al Masud A, Biswas A, Schimmel J, Nakhaee S, Nasr MS, Delva-Clark H, Goss F. Deep learning neural network derivation and testing to distinguish acute poisonings. Expert Opin Drug Metab Toxicol. 2023 Jan-Jun; 19(6):367-380.
Score: 0.213
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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: 0.211
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Mehrpour O, Hoyte C, Delva-Clark H, Al Masud A, Biswas A, Schimmel J, Nakhaee S, Goss F. Classification of acute poisoning exposures with machine learning models derived from the National Poison Data System. Basic Clin Pharmacol Toxicol. 2022 Dec; 131(6):566-574.
Score: 0.202
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Mehrpour O, Saeedi F, Hoyte C, Goss F, Shirazi FM. 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. BMC Pharmacol Toxicol. 2022 Sep 09; 23(1):68.
Score: 0.050
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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: 0.049
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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