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Generalization of a Deep Learning Model for Continuous Glucose Monitoring–Based Hypoglycemia Prediction: Algorithm Development and Validation Study

The glucose values reported by CGM devices were classified into three categories: nonhypoglycemic level (glucose>70 mg/d L), mild hypoglycemic level (glucose=54-70 mg/d L), and severe hypoglycemic level (glucose The primary data set consisting of 192 patients was randomly split into three disjoint data sets, namely the training data set, development data set, and test data set, at a 7:1.5:1.5 ratio.

Jian Shao, Ying Pan, Wei-Bin Kou, Huyi Feng, Yu Zhao, Kaixin Zhou, Shao Zhong

JMIR Med Inform 2024;12:e56909

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An mHealth Text Messaging Program Providing Symptom Detection Training and Psychoeducation to Improve Hypoglycemia Self-Management: Intervention Development Study

We previously conducted survey [32,37] and qualitative [39,40] studies that recruited participants ranging from those who spent a minimal amount of time with hypoglycemia to those who frequently developed severe hypoglycemic episodes; we identified that hypoglycemia symptom detection supports patients’ confirmation of CGM hypoglycemia information and facilitates self-management.

Yu Kuei Lin, James E Aikens, Nicole de Zoysa, Diana Hall, Martha Funnell, Robin Nwankwo, Kate Kloss, Melissa J DeJonckheere, Rodica Pop-Busui, Gretchen A Piatt, Stephanie A Amiel, John D Piette

JMIR Form Res 2023;7:e50374

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