Fully automated insulin treatment

Fully automated insulin treatment

Citation Author(s):
Submitted by:
Seunghyun Lee
Last updated:
Fri, 05/01/2020 - 06:10
Data Format:
Dataset Views:
0 ratings - Please login to submit your rating.
Share / Embed Cite

This dataset contains in-silico results of insulin treatment using a fully automated artificial pancreas algorithm based on reinforcement learning for FDA-approved virtual patients (C. D. Man et al., 2014) with type 1 diabetes (10 adults and 10 adolescents). 


The data contains the treatment results of the trained reinforcement learning based control algorithm over three different random seeds in each of the 20 virtual patients on seven runs of a single-meal (SM) scenario (randomly gernerated from mean amount of 65g with a standard deviation of 17g) following a preprandial fasting period with measurement noise. It also contains the treatment results of the trained algorihtm over three runs on two days of real life micking mult-meal (MM) scenario (40 g of CHO for breakfast at 8:00 a.m., 80 g of CHO for lunch at 1:00 p.m., and 60g of CHO for dinner at 9:00 p.m.). 


Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort!

Thank you for rating this dataset!

Please share additional details of your rating with the IEEE DataPort community by adding a comment.

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

[1] Seunghyun Lee, "Fully automated insulin treatment", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/z0nt-z923. Accessed: Jun. 03, 2020.
doi = {10.21227/z0nt-z923},
url = {http://dx.doi.org/10.21227/z0nt-z923},
author = {Seunghyun Lee },
publisher = {IEEE Dataport},
title = {Fully automated insulin treatment},
year = {2019} }
T1 - Fully automated insulin treatment
AU - Seunghyun Lee
PY - 2019
PB - IEEE Dataport
UR - 10.21227/z0nt-z923
ER -
Seunghyun Lee. (2019). Fully automated insulin treatment. IEEE Dataport. http://dx.doi.org/10.21227/z0nt-z923
Seunghyun Lee, 2019. Fully automated insulin treatment. Available at: http://dx.doi.org/10.21227/z0nt-z923.
Seunghyun Lee. (2019). "Fully automated insulin treatment." Web.
1. Seunghyun Lee. Fully automated insulin treatment [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/z0nt-z923
Seunghyun Lee. "Fully automated insulin treatment." doi: 10.21227/z0nt-z923