Surveying haemoperfusion impact on COVID-19 from machine learning using Shapley values.

Journal: Inflammopharmacology
PMID: 38762840

Abstract

BACKGROUND: Haemoperfusion (HP) is an innovative extracorporeal therapy that utilizes special cartridges to filter the blood, effectively removing pro-inflammatory cytokines, toxins, and pathogens in COVID-19 patients. This retrospective cohort study aimed to assess the clinical benefits of HP for severe COVID-19 cases using Shapley values for machine learning models.

Authors

  • Behzad Einollahi
    Nephrology and Urology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Mohammad Javanbakht
    Nephrology and Urology Research Center, Clinical Science Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Mehrdad Ebrahimi
    Nephrology and Urology Research Center, Clinical Science Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Mohammad Ahmadi
    Nephrology and Urology Research Center, Clinical Science Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Morteza Izadi
    Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Sholeh Ghasemi
    Department of Nephrology, Shahid Hasheminejad Kidney Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Zahra Einollahi
    Nephrology and Urology Research Center, Clinical Science Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Bentolhoda Beyram
    Nephrology and Urology Research Center, Clinical Science Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Abolfazl Mirani
    Biomedical Engineering Research Center, Clinical Science Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran. rsr.mirani@bmsu.ac.ir.
  • Ehsan Kianfar
    Biomedical Engineering Research Center, Clinical Science Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran. ehsan_kianfar2010@yahoo.com.

Keywords

External Resources

Popular Topics
Recent Journals