Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches.

Journal: BMC medical informatics and decision making
PMID: 35761275

Abstract

BACKGROUND: A disease severity classification system is widely used to predict the survival of patients admitted to the intensive care unit with different diagnoses. In the present study, conventional severity classification systems were compared with artificial intelligence predictive models (Artificial Neural Network and Decision Tree) in terms of the prediction of the survival rate of the patients admitted to the intensive care unit.

Authors

  • Farzad Mirzakhani
    Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Science, No. 4, Rashid Yasemi Street, Vali-e Asr Avenue, Tehran, 1996713883, Iran.
  • Farahnaz Sadoughi
    Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Science, No. 4, Rashid Yasemi Street, Vali-e Asr Avenue, Tehran, 1996713883, Iran. sadoughi.f@iums.ac.ir.
  • Mahboobeh Hatami
    Antimicrobial Resistance Research Center, Communicable Disease Institute, Mazandaran University of Medical Sciences, Sari, Iran.
  • Alireza Amirabadizadeh
    Medical Toxicology and Drug Abuse Research Center (MTDRC), Birjand University of Medical Sciences, South Khorasan, Iran.

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