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Seo-Hee Kim, Dae‐Yeon Kim, S. Chun | Computers in Biology and Medicine | (2024)
Abstract
Tags
Sample Definition And Size
The study collected continuous glucose monitoring (CGM) data from 102 hospitalized patients with type 2 diabetes mellitus (T2DM) admitted to Cheonan Hospital, Soonchunhyang University, aged between 20 and 90 years, including those in intensive care units ([sciencedirect.com](https://www.sciencedirect.com/science/article/pii/S001048252400341X?utm_source=openai)).
Study Type
This is an observational study developing and evaluating a predictive model using a multi-agent reinforcement learning (MARL)–based feature selection algorithm integrated into a sequence-to-sequence (seq2seq) attention model with Time2Vec encoding ([sciencedirect.com](https://www.sciencedirect.com/science/article/pii/S001048252400341X?utm_source=openai)).
Conflicts Of Interest
The authors declare that Jiyoung Woo reports financial support from the National Research Foundation of Korea and Soonchunhyang University; no other competing interests were declared ([sciencedirect.com](https://www.sciencedirect.com/science/article/pii/S001048252400341X?utm_source=openai)).
Results Summary
The proposed model achieved F1‑scores of 89.0% for normoglycemia, 60.6% for hypoglycemia, and 89.8% for hyperglycemia in predicting adverse glycemic events 30 minutes in advance ([sciencedirect.com](https://www.sciencedirect.com/science/article/pii/S001048252400341X?utm_source=openai)).
Referenced In
Created: Apr 19, 2026