Classification of fever patterns using a single extracted entropy feature: A feasibility study based on Sample Entropy

Classification of fever patterns using a single extracted entropy feature: A feasibility study based on Sample Entropy

Fever is a common symptom of many diseases. Fever temporal patterns can be different depending on the specific pathology. Differentiation of diseases based on multiple mathematical features and visual observations has been recently studied in the scientific literature. However, the classification of...

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Bibliographic Details
Main Authors: David Cuesta-Frau, Pau Miró-Martínez, Sandra Oltra-Crespo, Antonio Molina-Picó, Pradeepa H. Dakappa, Chakrapani Mahabala, Borja Vargas, Paula González
Format: Article
Language:English
Published: AIMS Press 2020-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
fever
time series classification
tuberculosis
dengue
diagnostic aids
sample entropy
trace segmentation
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2020013?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2020013?viewType=HTML

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