Artificial Intelligence-Based Prediction of Covid-19 Severity on the Results of Protein Profiling.

Journal: Computer methods and programs in biomedicine
Published Date: Feb 15, 2021

Abstract

BACKGROUND: COVID-19 progresses slowly and negatively affects many people. However, mild to moderate symptoms develop in most infected people, who recover without hospitalization. Therefore, the development of early diagnosis and treatment strategies is essential. One of these methods is proteomic technology based on the blood protein profiling technique. This study aims to classify three COVID-19 positive patient groups (mild, severe, and critical) and a control group based on the blood protein profiling using deep learning (DL), random forest (RF), and gradient boosted trees (GBTs).

Authors

  • Şeyma Yaşar
    Inonu University, Faculty of Medicine, Department of Biostatistics and Medical Informatics, Malatya, Turkey.
  • Cemil Colak
    Inonu University, Faculty of Medicine, Department of Biostatistics and Medical Informatics, Malatya, Turkey. Electronic address: cemilcolak@yahoo.com.
  • Saim Yoloğlu
    Inonu University, Faculty of Medicine, Department of Biostatistics and Medical Informatics, Malatya, Turkey.

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