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
 
 
Language used: English
Date on which the thesis was submitted / produced: 21. 5. 2024

Thesis defence

  • Date of defence: 19. 6. 2024
  • Supervisor: doc. RNDr. Petr Holub, Ph.D.
  • Reader: doc. Mgr. Bc. Vít Nováček, PhD

Citation record

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

Masaryk University

Faculty of Informatics

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

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