A Machine Learning Approach to Predict In-Hospital Mortality in
COVID-19 Patients with Underlying Cardiovascular Disease using Artificial
Neural Network
Abstract:Background:
Machine learning algorithms, such as artificial neural networks (ANN), provide more accurate prediction by discovering complex patterns within data. Since COVID-19 disease is prevalent, using advanced statistical tools can upgrade clinical decision making by identifying high risk patients at the time of admission.
Objective:
This study aims to predict in-hospital mortality in COVID-19 patients with underlying cardiovascular disease (CVD) using ANN model.
Methods:
In the current retrospective co… Show more
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