Predictive Healthcare

Predictive healthcare leverages machine learning to analyze patient data—including electronic health records, clinical notes, and wearable sensor data—to anticipate future health events like hospital readmissions or disease onset. Current research emphasizes the development of robust and adaptable models, such as graph neural networks, LSTM networks, and multitask learning frameworks, capable of handling diverse data types and incomplete information while addressing issues of fairness and data privacy. These advancements aim to improve early diagnosis, personalize treatment plans, optimize resource allocation, and ultimately enhance patient outcomes and the efficiency of healthcare systems.