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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Bibliografiske detaljer
Udgivet i:Biomed Res Int
Main Authors: Qawqzeh, Yousef K., Bajahzar, Abdullah S., Jemmali, Mahdi, Otoom, Mohammad Mahmood, Thaljaoui, Adel
Format: Artigo
Sprog:Inglês
Udgivet: Hindawi 2020
Fag:
Research Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7439205/
https://ncbi.nlm.nih.gov/pubmed/32851065
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/3764653
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