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Glucostats: an efficient Python library for glucose time series feature extraction and visual analysis

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Udgivet i:BMC Bioinformatics vol. 26 (2025), p. 1-17
Hovedforfatter: Peiro-Corbacho, Pablo
Andre forfattere: Lara-Abelenda, Francisco J, Chushig-Muzo, David, Wägner, Ana M, Granja, Conceição, Soguero-Ruiz, Cristina
Udgivet:
Springer Nature B.V.
Fag:
Parallel processing
Software
Diabetes
Hyperglycemia
Trend analysis
Trends
Pattern recognition
Hypoglycemia
Python
Data science
Computer applications
Modularity
Glucose monitoring
Machine learning
Time series
Visualization
Glucose
Data analysis
Datasets
Pattern analysis
Pipelining (computers)
Design
Modular design
Information processing
Anomalies
Libraries
Environmental
Online adgang:Citation/Abstract
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