PDSS: A Pharmacological Decision Support System for Diabetics Patients with COVID-19
Autores: Isabel Amaya Rodriguez Nekane Larburu Rubio María Rollán Martínez-Herrera Kristin May Rebescher Miguel A. Armengol Cristina Rubio
Fecha: 26.10.2023
Abstract
With the advent of SARS-CoV-2, several studies have shown that there is a higher mortality rate in patients with diabetes and, in some cases, it is one of the side effects of overcoming the disease. However, there is no clinical decision support tool or specific treatment protocols for these patients. To tackle this issue, in this paper we present a Pharmacological Decision Support System (PDSS) providing intelligent decision support for COVID-19 diabetic patient treatment selection, based on an analysis of risk factors with data from electronic medical records using Cox regression. The goal of the system is to create real world evidence including the ability to continuously learn to improve clinical practice and outcomes of diabetic patients with COVID-19.
BIB_text
title = {PDSS: A Pharmacological Decision Support System for Diabetics Patients with COVID-19},
pages = {521-525},
keywds = {
DiabetesClinical decision support systemsCOVID-19Risk Factor
}
abstract = {
With the advent of SARS-CoV-2, several studies have shown that there is a higher mortality rate in patients with diabetes and, in some cases, it is one of the side effects of overcoming the disease. However, there is no clinical decision support tool or specific treatment protocols for these patients. To tackle this issue, in this paper we present a Pharmacological Decision Support System (PDSS) providing intelligent decision support for COVID-19 diabetic patient treatment selection, based on an analysis of risk factors with data from electronic medical records using Cox regression. The goal of the system is to create real world evidence including the ability to continuously learn to improve clinical practice and outcomes of diabetic patients with COVID-19.
}
date = {2023-10-26},
}
