Accessibility navigation


Blood glucose forecasting using LSTM variants under the context of open source artificial pancreas system

Wang, T. and Li, W. (V.) (2020) Blood glucose forecasting using LSTM variants under the context of open source artificial pancreas system. In: 53rd Hawaii International Conference on System Sciences, 7-10 Jan 2020, Maui, Hawaii.

[img]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.

514kB
[img] Text - Accepted Version
· Restricted to Repository staff only

439kB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Official URL: http://hdl.handle.net/10125/64139


Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Henley Business School > Business Informatics, Systems and Accounting
Interdisciplinary centres and themes > Health Innovation Partnership (HIP)
ID Code:86409

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation