公开(公告)号：US20240172999A1

公开(公告)日：2024-05-30

申请号：US18498548

申请日：2023-10-31

Applicant: Dexcom, Inc.

Inventor： Giada ACCIAROLI ,  Christopher R. HANNEMANN ,  Mark DERDZINSKI ,  Margaret A. CRAWFORD ,  Joost Herman VAN DER LINDEN

IPC: A61B5/00 ,  A61B5/145

CPC classification number: A61B5/7275 ,  A61B5/14532 ,  A61B5/7267

Abstract: Systems, devices, and methods for determining decision support outputs using user-specific analyte level criteria for improving patients' health outcomes are provided. In one embodiment, a non-transitory computer readable storage medium storing a program is provided, the program comprising instructions that, when executed by at least one processor of a computing device, cause the at least one processor to perform operations including receiving sensor data generated by an analyte sensor configured to monitor at least one analyte, determining at least one analyte level criteria for the user for the at least one analyte; determining, using a decision support model, at least one decision support output based on the at least one analyte level criteria, and providing the at least one decision support output to the user.

公开(公告)号：US20240194341A1

公开(公告)日：2024-06-13

申请号：US18503486

申请日：2023-11-07

Applicant: Dexcom, Inc.

Inventor： Joost Herman VAN DER LINDEN ,  Mark DERDZINSKI ,  Margaret A. CRAWFORD ,  Giada ACCIAROLI ,  Christopher R. HANNEMANN

IPC: G16H50/20 ,  G06N3/0985

CPC classification number: G16H50/20 ,  G06N3/0985

Abstract: Systems, devices, and methods for determining user-specific hyperparameters for decision support models are provided. In one embodiment, a non-transitory computer readable storage medium storing a program is provided, the program comprising instructions that, when executed by at least one processor of a computing device, cause the at least one processor to perform operations including performing an initial exploration phase; performing a training phase; and performing an exploration-exploitation phase by: dividing users into an exploration subset and an exploitation subset; determining at least one optimal hyperparameter for each user of the exploitation subset; determining, using the at least one optimal hyperparameter, at least one decision support output for each user of the exploitation subset; randomly assigning at least one hyperparameter to each user of the exploration subset; and determining, using the at least one randomly assigned hyperparameter, at least one decision support output for each user of the exploration subset.