Revolutionizing clinical decision making through deep learning and topic modeling for pathway optimization

Revolutionizing clinical decision making through deep learning and topic modeling for pathway optimization

Abstract Optimizing clinical pathways is pivotal for enhancing healthcare delivery, yet traditional methods are increasingly insufficient in the face of complex, personalized medical demands. This paper introduces an innovative optimization framework that fuses Latent Dirichlet Allocation (LDA) topi...

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Bibliographic Details
Main Authors: Liu Tianzhao, He Jinzhi, Zhou Rong, Song Jun, Liu Hailong, Liang Yan
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Clinical pathways
Data-driven methods
Deep learning
Topic modeling
Recurrent neural networks
Elevated myocardial infarction
Online Access:https://doi.org/10.1038/s41598-025-12679-z
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