Healthcare Data

Healthcare data research focuses on responsibly utilizing diverse data sources (electronic health records, wearables, social determinants of health) to improve patient care and advance medical knowledge. Current research emphasizes developing secure and privacy-preserving methods for data sharing and analysis, often employing machine learning models (e.g., transformers, federated learning, explainable boosting machines) and techniques like differential privacy and blockchain technology. This work is crucial for enabling large-scale studies, improving diagnostic accuracy, personalizing treatment, and ultimately enhancing healthcare outcomes while addressing ethical concerns around data security and bias.