Related Experiment Video
Updated: Feb 16, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
Published on: December 15, 2023
Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks
Jing Mei1, Shiwan Zhao1, Feng Jin1
1IBM Research China, Beijing, China.
Abstract:
In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considerable attention. This sequential nature of EHR data make them wellmatched for the power of Recurrent Neural Network (RNN). In this poster, we propose "Deep Diabetologist" - using RNNs for EHR sequential data modeling to provide personalized hypoglycemic medication prediction for diabetic patients. Our results demonstrate improved performance compared with a baseline classifier using logistic regression.
Related Concept Videos
Oral Hypoglycemic Agents: Glinides
Protein Networks
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Oral Hypoglycemic Agents: Sulfonylureas
Network Covalent Solids
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
Oral Hypoglycemic Agents: Biguanides and Glitazones
Inhaled Medications

