Use of neural network based on international classification ICD-10 in patients with head and neck injuries in Lublin Province, Poland, between 2006-2018, as a predictive value of the outcomes of injury sustained.

Journal: Annals of agricultural and environmental medicine : AAEM
PMID: 37387378

Abstract

INTRODUCTION AND OBJECTIVE: Head and neck injuries are a heterogeneous group in terms of both clinical course and prognosis. For years, there have been attempts to create an ideal tool to predict the outcomes and severity of injuries. The aim of this study was evaluation of the use of selected artificial intelligence methods for outcome predictions of head and neck injuries.

Authors

  • Mariusz Jojczuk
    Chair and Department of Trauma Surgery and Emergency Medicine, Medical University, Lublin, Poland.
  • Piotr Kamiński
    Chair and Department of Trauma Surgery and Emergency Medicine, Medical University, Lublin, Poland.
  • Jakub Gajewski
    Department of Machine Design and Mechatronics, Faculty of Mechanical Engineering, University of Technology, Lublin, Poland.
  • Robert Karpiński
    Department of Machine Design and Mechatronics, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland.
  • Przemysław Krakowski
    Chair and Department of Trauma Surgery and Emergency Medicine, Medical University, Lublin, Poland.
  • Józef Jonak
    Department of Machine Design and Mechatronics, Faculty of Mechanical Engineering, University of Technology, Lublin, Poland.
  • Adam Nogalski
    Chair and Department of Trauma Surgery and Emergency Medicine, Medical University, Lublin, Poland.
  • Dariusz Głuchowski
    Department of Computer Science, Faculty of Electrical Engineering and Computer Science, University of Technology, Lublin, Poland.

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