GlySim: Modeling and Simulating Glycemic Response for Behavioral Lifestyle Interventions

Asiful Arefeen, Hassan Ghasemzadeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Effective prevention and management of diabetes relies on maintaining a normal blood glucose level, thus avoiding abnormal events such as hyperglycemia and hypoglycemia. Predicting anomalous events beforehand can potentially help patients and caregivers intervene to prevent such events through modifiable behaviors such as exercise, diet, and medication. Although Continuous Glucose Monitor (CGM) sensors have been used to monitor and forecast blood glucose level, current research lacks a computational approach that recommends a behavioral intervention to bring the glucose level to a normal range. To address this shortcoming, we present GlySim1, a CGM simulator that uses multimodal data to not only forecast future glucose readings but also enable a user to examine the impacts of behavior change on glucose response in advance. GlySim creates opportunities for change in food consumption, medication, and physical activity to avoid dysglycemia by pinpointing factors that cause anomalous events using Grad-CAM (Gradient-weighted Class Activation Mapping) and allowing users to observe how adjusting a behavioral factor changes glucose trajectories. We validate GlySim on a dataset of 10 patients with type 1 diabetes and achieve an overall mean absolute error (MAE) as low as 16.5 mg/dl in simulating glycemic response. Furthermore, GlySim detects hyperglycemic events with 0.89 average precision.

Original languageEnglish (US)
Title of host publicationBHI 2023 - IEEE-EMBS International Conference on Biomedical and Health Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350310504
DOIs
StatePublished - 2023
Event2023 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2023 - Pittsburgh, United States
Duration: Oct 15 2023Oct 18 2023

Publication series

NameBHI 2023 - IEEE-EMBS International Conference on Biomedical and Health Informatics, Proceedings

Conference

Conference2023 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2023
Country/TerritoryUnited States
CityPittsburgh
Period10/15/2310/18/23

Keywords

  • Wearable
  • continuous glucose monitor
  • diabetes
  • digital twin
  • forecasting
  • multimodal data
  • simulator

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Statistics, Probability and Uncertainty
  • Health Informatics
  • Radiology Nuclear Medicine and imaging

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