Healthcare Prediction

Healthcare prediction leverages machine learning to forecast patient outcomes, such as mortality, readmission, or disease progression, improving clinical decision-making and resource allocation. Current research emphasizes integrating diverse data sources (electronic health records, medical images, knowledge graphs) with advanced models like large language models, graph neural networks, and deep learning architectures to enhance prediction accuracy and interpretability. This field is crucial for advancing personalized medicine, optimizing healthcare resource management, and mitigating biases in existing healthcare datasets, ultimately leading to improved patient care and equitable healthcare access.