MedMemoryBench:The source code and data link of paper "MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare".
medgraph-ai:Healthcare RAG agent with Neo4j knowledge graphs - Query medical data using LangChain, FastAPI & Streamlit
Heart-Disease-Prediction-Using-Federated-Learning-Algorithms:The Heart Disease Prediction Using Federated Learning Algorithms project predicts heart disease using federated learning to maintain data privacy. It trains a global model using the FedAvg algorithm, sharing only model updates across clients. Built with TensorFlow and Keras, it ensures secure and decentralized training for healthcare applications
Line-of-Therapy-Algorithm:This is the Line of Therapy Algorithm, as described in the paper "Temporal phenotyping by mining healthcare data to derive lines of therapy for cancer" pending submission in the Journal of Biomedical Informatics.
// repository documentation
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