Back to search

Article

An Explainable Host Genetic Severity Predictor Model for COVID-19 Patients

2023-03-08

Abstract excerpt

Understanding the COVID-19 severity and why it differs significantly among patients is a thing of concern to the scientific community. The major contribution of this study arises from the use of a voting ensemble host genetic severity predictor (HGSP) model we developed by combining several state-of-the-art machine learning algorithms (decision tree-based models: Random Forest and XGBoost classifiers). These model...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d4bc8803-5351-50f5-88d8-f49ac6a69303
DOI
10.1101/2023.03.06.23286869
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
An Explainable Host Genetic Severity Predictor Model for COVID-19 PatientsDOI 10.1101/2023.03.06.23286869
An explainable model of host genetic interactions linked to COVID-19 severity.Semantic proximity
An explainable model of host genetic interactions linked to COVID-19 severitySemantic proximity
A Unique Patient Stratification Method Combined with a Machine Learning Approach Identifies Novel Genetic Susceptibility and Protective Factors for Severe COVID-19 in a Hungarian Population.Semantic proximity
Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severitySemantic proximity
Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity.Semantic proximity
Post-Mendelian Genetic Model in COVID-19Semantic proximity
A comprehensive knowledgebase of known and predicted human genetic variants associated with COVID-19 susceptibility and severitySemantic proximity
Host genetics and COVID-19 severity: increasing the accuracy of latest severity scores by Boolean quantum featuresSemantic proximity
Post-Mendelian genetic model in COVID-19Semantic proximity
Assessing the potential of polygenic scores to strengthen medical risk prediction models of COVID-19.Semantic proximity
Case-control association study between polygenic risk score and COVID-19 severity in a Russian population using low-pass genome sequencing.Semantic proximity
Host Genetic Liability for Severe COVID-19 Associates with Alcohol Drinking Behavior and Diabetic Outcomes in Participants of European DescentSemantic proximity
Select a neighboring publication to make it the new centre.