Development of Time Series AI Framework and Blood Glucose Level Forecasting – Bc. Andrej Kubanda
Bc. Andrej Kubanda
Master's thesis
Development of Time Series AI Framework and Blood Glucose Level Forecasting
Development of Time Series AI Framework and Blood Glucose Level Forecasting
Abstract:
Práca predstavuje návrh a implementáciu frameworku na analýzu časových radov a hlboké učenie v zabezpečenom Kubernetes prostredí SensitiveCloud. Následne je framework použitý na trénovanie modelov na predikciu hladiny glukózy v krvi u pacientov s cukrovkou 2. typu v rámci projektu DICATIL pod vedením profesora Matoulka z 1. lekárskej fakulty Univerzity Karlovy. Na záver práce používame metódy vysvetliteľnosti …moreAbstract:
The thesis presents a design and implementation of an end-to-end framework for time series analysis and deep learning within a secured SensitiveCloud Kubernetes environment. Subsequently, the framework is employed to train models for blood glucose level prediction among type 2 diabetes patients as part of the DICATIL project led by Prof. Matoulek from the First Faculty of Medicine, Charles University …more
Language used: English
Date on which the thesis was submitted / produced: 21. 5. 2024
Identifier:
https://is.muni.cz/th/v2437/
Thesis defence
- Date of defence: 19. 6. 2024
- Supervisor: doc. RNDr. Petr Holub, Ph.D.
- Reader: doc. Mgr. Bc. Vít Nováček, PhD
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Artificial intelligence and data processing / Machine learning and artificial intelligence
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