Data Analysis

Data analysis in healthcare focuses on extracting meaningful insights from diverse data sources—including electronic health records, medical images, and wearable sensor data—to improve patient care and optimize healthcare systems. Current research emphasizes the use of advanced machine learning models, such as transformers and convolutional neural networks, often within federated learning frameworks to address data privacy and heterogeneity across institutions. These analytical advancements aim to enhance prediction accuracy for various clinical outcomes (e.g., disease risk, mortality), personalize treatment strategies, and improve the efficiency and interpretability of healthcare analytics.