A Hybrid Feature Selection Approach to Screen a Novel Set of Blood Biomarkers for Early COVID-19 Mortality Prediction
The increase in coronavirus disease 2019 (COVID-19) infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has placed pressure on healthcare services worldwide. Therefore, it is crucial to identify critical factors for the assessment of the severity of COVID-19 infection an...
Main Authors: | Asif Hassan Syed, Tabrej Khan, Nashwan Alromema |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/12/7/1604 |
Similar Items
-
A Hybrid Machine Learning Approach to Screen Optimal Predictors for the Classification of Primary Breast Tumors from Gene Expression Microarray Data
by: Nashwan Alromema, et al.
Published: (2023-02-01) -
A Meta-Analysis Survey on the Usage of Meta-Heuristic Algorithms for Feature Selection on High-Dimensional Datasets
by: Li Yu Yab, et al.
Published: (2022-01-01) -
A Meta-heuristic Algorithm for the Minimal High-Quality Feature Extraction of Online Reviews
by: Harnani Mat Zin, et al.
Published: (2022-10-01) -
Non-Dominated Sorting Genetic Algorithm-Based Dynamic Feature Selection for Intrusion Detection System
by: Abubaker Jumaah Rabash, et al.
Published: (2023-01-01) -
A Comprehensive Survey of Recent Hybrid Feature Selection Methods in Cancer Microarray Gene Expression Data
by: Halah Almazrua, et al.
Published: (2022-01-01)