Workflow from Scientific Research

Model development of the AI systema model-based RL-DITR system consisting of patient model and policy model. Left, we constructed a large multi-center EHR dataset consisting of records of long-term continuous clinical observation and medication of hospitalized patients with T2D. Middle, with the standardized time-series data as input, the patient model generated hidden state transition, status prediction and reward estimation. Right, the policy model is optimized by interacting with the patient model as an environment.

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