Frontiers

Machine Learning-Based Prediction of Nasopharyngeal Carcinoma (NPC) Risk: A Clinical Approach

The final, formatted version of the article will be published soon. Background: Early screening and risk assessment of nasopharyngeal carcinoma (NPC) are essential for timely diagnosis and improved ...
IEEE

Comparative Analysis of Hyperspectral Imaging with Machine Learning: Assessment of Crop Health and Honey Quality

Abstract: This study investigates the use of advanced machine learning (ML) algorithms to enhance classification accuracy in hyperspectral image analysis, addressing complexities across various ...
Frontiers

Salp swarm-optimized machine learning models for predicting preoperative aortic rupture risk in acute type a aortic dissection patients

Acute Type A aortic dissection (ATAAD) is characterized by acute onset and rapid progression, with aortic rupture due to dissection extension being the primary lethal mechanism. Timely identification ...
IEEE

Explainable AI for Diabetes Risk Assessment: Enhancing Clinical Decision Support with Interpretable Machine Learning Models

Abstract: This paper presents a comprehensive study on the application of Explainable Artificial Intelligence (XAI) for diabetes risk assessment, focusing on the interpretability of machine learning ...