Search Results for author: Jeremy Beauchamp

Found 1 papers, 0 papers with code

LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management

no code implementations6 Mar 2021 Jeremy Beauchamp, Razvan Bunescu, Cindy Marling, Zhongen Li, Chang Liu

In this work, we invert the "what-if" scenario and introduce a similar architecture based on chaining two LSTMs that can be trained to make either insulin or carbohydrate recommendations aimed at reaching a desired BG level in the future.

Management Time Series Forecasting

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