Prediction of early myocardial damage in obstructive sleep apnea patients using combined logistic regression and QUEST decision tree models

Prediction of early myocardial damage in obstructive sleep apnea patients using combined logistic regression and QUEST decision tree models

Obstructive sleep apnea (OSA) is linked to cardiovascular complications, including myocardial dysfunction, yet early detection remains difficult. This retrospective study aimed to develop a combined logistic regression and QUEST decision tree model to predict early myocardial dysfunction in OSA pati...

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Bibliographic Details
Main Authors: Chong Pei, Zhen Ding, Lei Hu, Shuyu Gui
Format: Article
Language:English
Published: Associação Brasileira de Divulgação Científica 2025-06-01
Series:Brazilian Journal of Medical and Biological Research
Subjects:
Obstructive sleep apnea
LVGLS
RVFWLS
Logistic regression
QUEST decision tree
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2025000100653&lng=en&tlng=en
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