HAP-COVID: Hybrid Model Integrating Machine Learning and Neutrosophic Statistics to Estimate Mortality Risk in COVID-19 Comorbid Patients

HAP-COVID: Hybrid Model Integrating Machine Learning and Neutrosophic Statistics to Estimate Mortality Risk in COVID-19 Comorbid Patients

This study aims to utilize a hybrid predictive model to evaluate the mortality risk in COVID-19 patients with comorbidities. It is challenging to make clinical decisions while dealing with SARS-CoV-2 because of the high death rate related to chronic conditions such as diabetes, hypertension, chronic...

Full description

Saved in:
Bibliographic Details
Main Authors: Daniel Iturburu-Salvador, Lorenzo Cevallos-Torres, Rosangela Caicedo-Quiroz, Irma Naranjo-Peña, Rosa Hernández-Magallanes, Rosa Gonzáles-Quiñones
Format: Article
Language:English
Published: University of New Mexico 2025-07-01
Series:Neutrosophic Sets and Systems
Subjects:
covid-19
chronic diseases
machine learning
neutrosophic statistics
hybrid predictive model
monte carlo algorithm.
Online Access:https://fs.unm.edu/NSS/43.HAPCOVIDHybrid.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://fs.unm.edu/NSS/43.HAPCOVIDHybrid.pdf

Similar Items