Innovative Application of Deep Representation Learning in Imbalanced ECG Classification —— Academic News Report on “Deep Representation Learning with Sample Generation and Augmented Attention Module for Imbalanced ECG Classification” 1. Academic Background and Research Motivation Cardiac health monitoring holds a pivotal place in modern healthcare,...

A New Perspective on Deep Learning for Medical Time-Series Imputation — An Interpretation of the Review “How Deep Is Your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation” 1. Academic Background and Research Motivation With the ongoing development of healthcare informatization, Electronic Health Records (EHRs) have bec...

Intelligent Conversational Agent for Rare Diseases—RDGuru: Cutting-edge Technology Powers a New Revolution in Clinical Diagnosis Academic Background and Research Motivation Rare Diseases (RD) refer to disease categories that affect fewer than 6.5 to 10 individuals per 10,000 population. Their individual rarity, complex clinical features, and divers...

New Breakthrough in Intelligent Medical Diagnosis: Randomized Explainable Machine Learning Models Drive Efficient Medical Diagnostics I. Academic Background and Research Motivation In recent years, Deep Learning (DL) models have played a crucial role in the field of healthcare. By processing vast amounts of medical data, DL significantly improves t...

1. Research Background and Academic Significance Alzheimer’s Disease (AD) is the most common form of dementia worldwide, accounting for about 60–80% of all dementia cases. The primary affected population is individuals over 65 years old, with characteristic pathological features including the deposition of amyloid-β plaques, neurofibrillary tangles...