Potential Pathological, Clinical, and Symptomatic Findings of COVID-19 to Predict Mortality in Positive PCR Individuals Using Data Mining

Potential Pathological, Clinical, and Symptomatic Findings of COVID-19 to Predict Mortality in Positive PCR Individuals Using Data Mining

Introduction:COVID-19 has placed immense burdens on healthcare systems and medical staff. To avoid spread, the statistician’s role and the use of appropriate predictive models -prediction of survivors versus non-survivors- is highly relevant. This study aimed to apply a model which avoids overfittin...

Full description

Saved in:
Bibliographic Details
Main Authors: Nasrin Talkhi, Nooshin Akbari sharak, Zahra Pasdar, Maryam Salari, Seyed Masoud Sadati, Mohammad Taghi Shakeri
Format: Article
Language:English
Published: Mashhad University of Medical Sciences 2023-01-01
Series:Patient Safety and Quality Improvement Journal
Subjects:
conditional inference tree
covid-19
data mining
decision trees
machine learning
Online Access:https://psj.mums.ac.ir/article_22058_9896fceae375f67ab557abee509bcab5.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://psj.mums.ac.ir/article_22058_9896fceae375f67ab557abee509bcab5.pdf

Similar Items