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Clinical Decision Transformer: Intended Treatment Recommendation through Goal Prompting
For this, we conducted goal-conditioned sequencing, which generated a subsequence of treatment history with prepended future goal state, and trained the CDT to model sequential medications required to reach that goal state.
Prediction of Daytime Hypoglycemic Events Using Continuous Glucose Monitoring Data and Classification Technique
The independent variables of our prediction model are the rate of decrease from a peak and absolute level of the BG at the decision point.
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