A Predictive Method for Unplanned Postoperative Readmission Risk Based on Heterogeneous Data

A Predictive Method for Unplanned Postoperative Readmission Risk Based on Heterogeneous Data

Objective Unplanned readmissions are a critical indicator for hospital risk management and a key measure of medical quality. Predicting readmissions poses a significant challenge within healthcare systems. While numerous existing methods have demonstrated remarkable results, there is still considera...

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Bibliographic Details
Main Authors: Kai YU, Xiaofeng DONG, Zhenming YUAN, Zhaojian CUI, Weibin LUO
Format: Article
Language:English
Published: Editorial Department of Journal of Sichuan University (Engineering Science Edition) 2025-01-01
Series:工程科学与技术
Subjects:
heterogeneous data
deep learning
tensor fusion
readmission
convolutional networks
residual structure
Online Access:http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202300572
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