Using Machine Learning techniques to understand glucose fluctuation in response to breathing signals

Using Machine Learning techniques to understand glucose fluctuation in response to breathing signals

Blood glucose (BG) prediction and classification plays big role in diabetic patients' daily lives. Based on International Diabetes Federation (IDF) in 2019, 463 million people are diabetic globally and the projection by 2045 is that the number will rise to 700 million people. Continuous glucose...

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Bibliographic Details
Main Author: Karamichalis, Nikolaos
Format: Others
Language:English
Published: Luleå tekniska universitet, Institutionen för system- och rymdteknik 2021
Subjects:
diabetes
machine learning
classification
prediction
cgm
physiological signals
glucose
type 1
d1namo
dataset
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-87348

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-87348

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