yixiangD/AccurateBG

Patient-specific blood glucose prediction using deep learning, considering the challenges of "small dataset" and "data imbalance"

42
/ 100
Emerging

This project helps clinicians and researchers predict future blood glucose levels for individual patients with type 2 diabetes. It takes existing patient glucose data, even if limited, and generates personalized predictions for their glucose levels up to an hour in advance. This tool is designed for healthcare professionals, diabetes researchers, and data scientists working in endocrinology.

No commits in the last 6 months.

Use this if you need to accurately forecast blood glucose levels for individual type 2 diabetes patients, especially when working with smaller datasets or facing data imbalance challenges.

Not ideal if you are looking for a real-time patient monitoring or management system, as this is a research-focused prediction tool.

diabetes-management blood-glucose-prediction endocrinology-research predictive-healthcare personalized-medicine
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 18 / 25

How are scores calculated?

Stars

53

Forks

14

Language

Python

License

MIT

Last pushed

Oct 27, 2024

Commits (30d)

0

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