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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 …more
Abstract:
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
 

Keywords

blood glucose level prediction T2DM time series forecasting deep learning framework data visualization AI explainability
 
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

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky
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Masaryk University

Faculty of Informatics

Master programme / field:
Artificial intelligence and data processing / Machine learning and artificial intelligence

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