Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management.

ABSTRACT:

Background

Optimal COVID-19 management is still undefined. In this complicated scenario, the construction of a computational model capable of extracting information from electronic medical records, correlating signs, symptoms and medical prescriptions, could improve patient management/prognosis.

Methods

The aim of this study is to investigate the correlation between drug prescriptions and outcome in patients with COVID-19. We extracted data from 3674 medical records of hospitalized patients: drug prescriptions, outcome, and demographics. The outcome evaluated was hospital outcome. We applied correlation analysis using a Logistic Regression algorithm for machine learning with Lasso and Matthews correlation coefficient.

Results

We found correlations between drugs and pa

SUBMITTER: Levin AS 

PROVIDER: S-EPMC9490728 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature