Artificial intelligence-driven intelligent learning models for identification and prediction of cardioneurological disorders: A comprehensive study

S Hussain, S Ahmad, M Wasid - Computers in Biology and Medicine, 2025 - Elsevier
Abstract The integration of Artificial Intelligence (AI) and Intelligent Learning Models (ILMs)
in healthcare has transformed the field, offering precise diagnostics, remote monitoring …

Feature selection integrating Shapley values and mutual information in reinforcement learning: An application in the prediction of post-operative outcomes in patients …

SH Kim, SY Park, H Seo, J Woo - Computer Methods and Programs in …, 2024 - Elsevier
Background: In predicting post-operative outcomes for patients with end-stage renal
disease, our study faced challenges related to class imbalance and a high-dimensional …

Age Specific Analysis on Multiclass Sequential Curated-Electronic Health Records (MSC-EHR) for CAD Survival Prediction using Deep Learning Techniques

Smita, E Kumar - SN Computer Science, 2024 - Springer
Early risk assessment is essential for addressing cardiovascular disease, a major healthcare
issue. Accurate diagnosis is essential for prompt medical care and medication. Deep …

Distance Metric Learning for Explainability in Complex Problems

JL Suárez Díaz - 2024 - digibug.ugr.es
The major technological advances of recent years have led to the generation of large
amounts of data from which, if properly processed and analyzed, relevant information can be …

I&MP for Transport Infrastructure Management using Deep Reinforcement Learning

SM Kejriwal - 2024 - repository.tudelft.nl
The administration of transportation infrastructure entails addressing a multitude of obstacles
arising from the intricate, fast changing and dynamic nature of the environment. This thesis …