ReplayBG is a digital twin-based methodology to assess new strategies for type 1 diabetes management.

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  • License: GNU General Public License v3 (GPLv3)
  • Author: Giacomo Cappon
  • Requires: Python >=3.9
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Project description

PyReplayBG

The official Python porting of the ReplayBG software: https://github.com/gcappon/replay-bg/.

License: GPL v3 GitHub commit

ReplayBG is a digital twin-based methodology to assess new strategies for type 1 diabetes management.

Reference

G. Cappon, M. Vettoretti, G. Sparacino, S. Del Favero, A. Facchinetti, "ReplayBG: a digital twin-based methodology to identify a personalized model from type 1 diabetes data and simulate glucose concentrations to assess alternative therapies", IEEE Transactions on Biomedical Engineering, 2023, DOI: 10.1109/TBME.2023.3286856.

Project details

Verified details

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Maintainers
Avatar for gcappon from gravatar.com gcappon

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Project links
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  • License: GNU General Public License v3 (GPLv3)
  • Author: Giacomo Cappon
  • Requires: Python >=3.9
Classifiers

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0.1.3

0.1.2

0.1.1

0.1.0

0.0.16

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