Comparison of artificial neural network and logistic regression models for prediction of outcomes in trauma patients: A systematic review and meta-analysis.

Journal: Injury
Published Date: Jan 11, 2019

Abstract

BACKGROUND: Currently, two models of artificial neural network (ANN) and logistic regression (LR) are known as models that extensively used in medical sciences. The aim of this study was to compare the ANN and LR models in prediction of Health-related outcomes in traumatic patients using a systematic review.

Authors

  • Soheil Hassanipour
    Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Haleh Ghaem
    Research Center for Health Sciences, Institute of Health, Epidemiology Department, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran. Electronic address: ghaemh@sums.ac.ir.
  • Morteza Arab-Zozani
    Iranian Center of Excellence in Health Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Mozhgan Seif
    Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Mohammad Fararouei
    School of Medical and Life Sciences, Sunway University, Sunway City, Malaysia.
  • Elham Abdzadeh
    Department of Biology, Faculty of Science, University of Guilan, Rasht, Iran.
  • Golnar Sabetian
    Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Shahram Paydar

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