Discovering associations between radiological features and COVID‐19 patients' deterioration

Discovering associations between radiological features and COVID‐19 patients' deterioration

Abstract Background and Aims Data mining methods are effective and well‐known tools for developing predictive models and extracting useful information from various data of patients. The present study aimed to predict the severity of patients with COVID‐19 by applying the rule mining method using cha...

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Bibliographic Details
Main Authors: Nasrin Ahmadinejad, Seyed Mohammad Ayyoubzadeh, Fahimeh Zeinalkhani, Sina Delazar, Zohreh Javanmard, Zahra Ahmadinejad, Amirhassan Mohajeri, Marzieh Esmaeili
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Health Science Reports
Subjects:
association rule mining
COVID‐19
chest images
data mining
frequent patterns
Online Access:https://doi.org/10.1002/hsr2.1257

Internet

https://doi.org/10.1002/hsr2.1257

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