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Drug and Chemical Toxicology Volume 46, 2023 - Issue 4
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Research Articles

Decision tree algorithm can determine the outcome of repeated supratherapeutic ingestion (RSTI) exposure to acetaminophen: review of 4500 national poison data system cases

Omid Mehrpoura Data Science Institute, Southern Methodist University, Dallas, TX, USA;b Denver Health and Hospital Authority, Denver, CO, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1070-8841
ORCID Icon,
Christopher Hoytec Department of Emergency Medicine, University of Colorado Hospital, Aurora, Colorado
,
Foster Gossc Department of Emergency Medicine, University of Colorado Hospital, Aurora, Colorado
,
Farshad M. Shirazid Arizona Poison & Drug Information Center, University of Arizona, College of Pharmacy and University of Arizona, College of Medicine, Tucson, AZ, USA
&
Samaneh Nakhaeee Medical Toxicology and Drug Abuse Research Center (MTDRC), Birjand University of Medical Sciences (BUMS), Birjand, Iran
Pages 692-698 | Received 21 Oct 2021, Accepted 21 May 2022, Published online: 07 Jun 2022

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Omid Mehrpour, Christopher Hoyte, Abdullah Al Masud, Ashis Biswas, Jonathan Schimmel, Samaneh Nakhaee, Mohammad Sadegh Nasr, Heather Delva-Clark & Foster Goss. (2023) Deep learning neural network derivation and testing to distinguish acute poisonings. Expert Opinion on Drug Metabolism & Toxicology 19:6, pages 367-380.
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Articles from other publishers (5)

Mitra Rahimi, Sayed Masoud Hosseini, Seyed Ali Mohtarami, Babak Mostafazadeh, Peyman Erfan Talab Evini, Mobin Fathy, Arya Kazemi, Sina Khani, Seyed Mohammad Mortazavi, Amirali Soheili, Seyed Mohammad Vahabi & Shahin Shadnia. (2024) Prediction of acute methanol poisoning prognosis using machine learning techniques. Toxicology 504, pages 153770.
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Jiazheng Mou. (2023) Application of Decision Tree Intelligent Algorithm in Mathematical Modeling Structure of Automation Control. Application of Decision Tree Intelligent Algorithm in Mathematical Modeling Structure of Automation Control.
Omid Mehrpour, Farhad Saeedi, Varun Vohra, Jafar Abdollahi, Farshad M. Shirazi & Foster Goss. (2023) The role of decision tree and machine learning models for outcome prediction of bupropion exposure: A nationwide analysis of more than 14 000 patients in the United States. Basic & Clinical Pharmacology & Toxicology 133:1, pages 98-110.
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Omid Mehrpour, Christopher Hoyte, Samaneh Nakhaee, Bruno Megarbane & Foster Goss. (2023) Using a decision tree algorithm to distinguish between repeated supra-therapeutic and acute acetaminophen exposures. BMC Medical Informatics and Decision Making 23:1.
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Omid Mehrpour, Farhad Saeedi, Christopher Hoyte, Foster Goss & Farshad M. Shirazi. (2022) 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 Pharmacology and Toxicology 23:1.
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