Classification of Diabetes Using Photoplethysmogram (PPG) Waveform Analysis: Logistic Regression Modeling

In this research, the photoplethysmogram (PPG) waveform analysis is utilized to develop a logistic regression-based predictive model for the classification of diabetes. The classifier has three predictors age, b/a, and SP indices in which they achieved an overall accuracy of 92.3% in the prediction...

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Detalles Bibliográficos
Autores principales: Qawqzeh, Yousef K., Bajahzar, Abdullah S., Jemmali, Mahdi, Otoom, Mohammad Mahmood, Thaljaoui, Adel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439205/
https://www.ncbi.nlm.nih.gov/pubmed/32851065
http://dx.doi.org/10.1155/2020/3764653

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439205/
https://www.ncbi.nlm.nih.gov/pubmed/32851065
http://dx.doi.org/10.1155/2020/3764653

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