A Multitask Deep Learning Model for Predicting Myocardial Infarction Complications

A Multitask Deep Learning Model for Predicting Myocardial Infarction Complications

Myocardial infarction is one of the most severe forms of ischemic heart disease, associated with high mortality and disability worldwide. The accurate and reliable prediction of adverse cardiovascular events is critical for developing effective treatment strategies and improving outcomes in cardiac...

Full description

Saved in:
Bibliographic Details
Main Authors: Fazliddin Makhmudov, Normakhmad Ravshanov, Dilshot Akhmedov, Oleg Pekos, Dilmurod Turimov, Young-Im Cho
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Bioengineering
Subjects:
cardiac rehabilitation
multitask neuron network
loss function
class imbalance
clinical factors
Online Access:https://www.mdpi.com/2306-5354/12/5/520
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items