Patient Data Integration And Normalization

via “patient data preprocessing and vectorization for memory storage”

This package contains the code for training a memory-augmented GPT model on patient data. Please note that this is not the 'letta' company project with thehttps://github.com/letta-ai/letta; for use of their package, plsuse 'pymemgpt' instead.

Unique: Implements domain-specific preprocessing for medical data including handling of clinical terminology, temporal relationships in patient history, and multi-modal data types (structured + unstructured); integrates directly with memory-augmented training rather than as standalone ETL

vs others: More specialized for healthcare than generic data pipelines; handles clinical data semantics (temporal sequences, medical codes) natively rather than treating all text equally