no code implementations • 6 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.