A two-stage pipeline encodes daily home-activity text with MiniLM, clusters the embeddings, and applies PageRank to derive per-patient behavior vectors.
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation , April 2024
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Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model
A two-stage pipeline encodes daily home-activity text with MiniLM, clusters the embeddings, and applies PageRank to derive per-patient behavior vectors.