 Connection
Christopher Hoyte to Poisons
This is a "connection" page, showing publications Christopher Hoyte has written about Poisons.
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Connection Strength |
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2.217 |
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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: 0.837
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Wang GS, Leonard J, Cornell A, Hoyte C. Adolescent US Poison Center Exposure Calls During the COVID-19 Pandemic. J Adolesc Health. 2022 12; 71(6):764-767.
Score: 0.804
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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, 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: 0.198
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Amirabadizadeh A, Nakhaee S, Jahani F, Soorgi S, Hoyte CO, Mehrpour O. Prognostic indicators in critically ill poisoned patients: development of a risk-prediction nomogram. Drug Metab Pers Ther. 2020 09 29; 35(4).
Score: 0.176
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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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