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

Qawqzeh YK, Bajahzar AS, Jemmali M, Otoom MM, Thaljaoui A

DOI: 10.1155/2020/3764653
Published: 2020
Container: BioMed research international
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1155/2020/3764653,
  title = {Classification of Diabetes Using Photoplethysmogram (PPG) Waveform Analysis: Logistic Regression Modeling.},
  author = {Qawqzeh YK and Bajahzar AS and Jemmali M and Otoom MM and Thaljaoui A},
  year = {2020},
  journal = {BioMed research international},
  doi = {10.1155/2020/3764653},
  url = {https://doi.org/10.1155/2020/3764653}
}

RIS

TY  - JOUR
TI  - Classification of Diabetes Using Photoplethysmogram (PPG) Waveform Analysis: Logistic Regression Modeling.
AU  - Qawqzeh YK
AU  - Bajahzar AS
AU  - Jemmali M
AU  - Otoom MM
AU  - Thaljaoui A
PY  - 2020
JO  - BioMed research international
DO  - 10.1155/2020/3764653
UR  - https://doi.org/10.1155/2020/3764653
ER  -

APA

YK, Q., AS, B., M, J., MM, O., & A, T. (2020). Classification of Diabetes Using Photoplethysmogram (PPG) Waveform Analysis: Logistic Regression Modeling.. BioMed research international. https://doi.org/10.1155/2020/3764653

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pubmed · retrieved 2026-09-25T02:54:18.019Z