Deep Survival Analysis With Clinical Variables for COVID-19.

Journal: IEEE journal of translational engineering in health and medicine
PMID: 36950264

Abstract

OBJECTIVE: Millions of people have been affected by coronavirus disease 2019 (COVID-19), which has caused millions of deaths around the world. Artificial intelligence (AI) plays an increasing role in all areas of patient care, including prognostics. This paper proposes a novel predictive model based on one dimensional convolutional neural networks (1D CNN) to use clinical variables in predicting the survival outcome of COVID-19 patients.

Authors

  • Ahmad Chaddad
    School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, China.
  • Lama Hassan
    School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, China.
  • Yousef Katib
    Department of Radiology, Taibah University, Al-Madinah, Saudi Arabia.
  • Ahmed Bouridane

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