Eigner, György and Nagy, Miklós and Kovács, Levente (2020) Machine learning application development to predict blood glucose level based on real time patient data. In: 2020 RIVF International Conference on Computing and Communication Technologies, 2020.04.06. - 2020.04.07., Ho Chi Minh, Vietnam.
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Abstract
The given paper details the development of a decision support system application to help for people with type 1 diabetes mellitus. The developed solution is based on supervised machine learning and it focuses to predict the future blood glucose level to support decision making of patients with conservative therapy. We applied the Tensorflow and Keras framework during our work to make our solutions embedded system compatible. We applied the AIDA diabetes simulator to generate data for the proof-of-concept. We found that our result are promising and the performance of the developed solutions are able to satisfy the requirements related the proof-of-concept.
| Item Type: | Conference or Workshop Item (Paper) |
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| Subjects: | R Medicine / orvostudomány > RC Internal medicine / belgyógyászat > RC658.5 Diabetes / diabetológia T Technology / alkalmazott, műszaki tudományok > T2 Technology (General) / műszaki tudományok általában |
| Depositing User: | Dr Dániel András Drexler |
| Date Deposited: | 19 Feb 2021 10:43 |
| Last Modified: | 03 Apr 2023 07:08 |
| URI: | http://real.mtak.hu/id/eprint/121298 |
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