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

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).

Methods

The dataset consists of 93 samples (60 COVID-19 patients, 33 control), and 370 variables obtained from an open-source website. The current dataset contains age, gender, and 368 protein,

SUBMITTER: Yasar S 

PROVIDER: S-EPMC7882428 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature