Enhancing the Understanding of Abdominal Trauma During the COVID-19 Pandemic Through Co-Occurrence Analysis and Machine Learning

Enhancing the Understanding of Abdominal Trauma During the COVID-19 Pandemic Through Co-Occurrence Analysis and Machine Learning

Background: This study examines the impact of the COVID-19 pandemic on abdominal trauma management by comparing pre-pandemic (17 February 2018–26 February 2020) and pandemic periods (27 February 2020–7 March 2022). Methods: Analyzing data from 118 patients at the Emergency County Clinical Hospital o...

Full description

Saved in:
Bibliographic Details
Main Authors: Dumitru Radulescu, Dan Marian Calafeteanu, Patricia-Mihaela Radulescu, Gheorghe-Jean Boldea, Razvan Mercut, Eleonora Daniela Ciupeanu-Calugaru, Eugen-Florin Georgescu, Ana Maria Boldea, Ion Georgescu, Elena-Irina Caluianu, Georgiana-Andreea Marinescu, Emil-Tiberius Trasca
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Diagnostics
Subjects:
abdominal trauma
COVID-19 pandemic
co-occurrence
machine learning
Online Access:https://www.mdpi.com/2075-4418/14/21/2444
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2075-4418/14/21/2444

Similar Items