Developing a novel prediction model in opioid overdose using machine learning; a pilot analytical study-Reference-Cited by-同舟云学术

Developing a novel prediction model in opioid overdose using machine learning; a pilot analytical study

Published:2022-08-08 Issue:5 Volume:5 Page:
ISSN:2398-8835
Container-title:Health Science Reports
language:en
Short-container-title:Health Science Reports

Author:

Sakhaee Ehsan¹,Amirahmadi Ali²³,Mahdiani Morteza³⁴,Shojaei Maziar¹,Hassanian‐Moghaddam Hossein⁵⁶^ORCID,Bauer Roman⁷,Zamani Nasim⁵⁶,Pakdaman Hossein¹,Gharagozli Kourosh¹

Affiliation:

1. Brain Mapping Research Center, Department of Neurology Shahid Beheshti University of Medical Sciences Tehran Iran

2. Department of Information Technology, School of Electrical and Computer Engineering, University College of Engineering Tehran University Tehran Iran

3. Department of Artificial Intelligence ARIS Intelligent Solutions Company Tehran Iran

4. Department of Computer Engineering Amirkabir University of Technology (Tehran Polytechnic) Tehran Iran

5. Department of Clinical Toxicology, Loghman Hakim Hospital, School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran

6. Social Determinants of Health Research Center, Department of Community Health Shahid Beheshti University of Medical Sciences Tehran Iran

7. Department of Computer Science University of Surrey Guildford UK

Funder

Shahid Beheshti University of Medical Sciences

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hsr2.767

Reference34 articles.

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3. EMCDDA.Mortality Related to Drug Use in Europe: Public Health Implications. Publications Office of the European Union; 2011.

4. Suspected methadone toxicity; from hospital to autopsy bed;Gharehdaghi J;Basic ClinPharmacolToxicol,2017

5. Methadone toxicity: comparing tablet and syrup formulations during a decade in an academic poison center of Iran