Machine learning algorithms to predict seizure due to acute tramadol poisoning.

Journal: Human & experimental toxicology
PMID: 33538187

Abstract

INTRODUCTION: This study was designed to develop and evaluate machine learning algorithms for predicting seizure due to acute tramadol poisoning, identifying high-risk patients and facilitating appropriate clinical decision-making.

Authors

  • B Behnoush
    Department of Forensic Medicine, 48439Tehran University of Medical Sciences, Tehran, Iran.
  • E Bazmi
    Department of Epidemiology, 216617School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • S H Nazari
    Department of Epidemiology, 216617School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • S Khodakarim
    Department of Epidemiology, 216617School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • M A Looha
    Department of Biostatistics, Faculty of Paramedical Sciences, 556492Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • H Soori
    Department of Epidemiology, 216617School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

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