Decision tree algorithm can determine the outcome of repeated supratherapeutic ingestion (RSTI) exposure to acetaminophen: review of 4500 national poison data system cases-Reference-Cited by-同舟云学术

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

Published:2022-06-07 Issue: Volume: Page:1-7
ISSN:0148-0545
Container-title:Drug and Chemical Toxicology
language:en
Short-container-title:Drug and Chemical Toxicology

Author:

Mehrpour Omid¹²^ORCID,Hoyte Christopher³,Goss Foster³,Shirazi Farshad M.⁴,Nakhaee Samaneh⁵

Affiliation:

1. Data Science Institute, Southern Methodist University, Dallas, TX, USA

2. Denver Health and Hospital Authority, Denver, CO, USA

3. Department of Emergency Medicine, University of Colorado Hospital, Aurora, Colorado

4. Arizona Poison & Drug Information Center, University of Arizona, College of Pharmacy and University of Arizona, College of Medicine, Tucson, AZ, USA

5. Medical Toxicology and Drug Abuse Research Center (MTDRC), Birjand University of Medical Sciences (BUMS), Birjand, Iran

Publisher

Informa UK Limited

Subject

Chemical Health and Safety,Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Pharmacology,Toxicology,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/01480545.2022.2083149

Reference42 articles.

1. Clinical course of repeated supratherapeutic ingestion of acetaminophen

2. Identifying Risk Factors for Drug Use in an Iranian Treatment Sample: A Prediction Approach Using Decision Trees

3. Risk assessment of elevated blood lead concentrations in the adult population using a decision tree approach

4. Machine learning for phenotyping opioid overdose events

5. Machine-learning approaches to substance-abuse research: emerging trends and their implications

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