ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals
Article
Article Title | ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals |
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ERA Journal ID | 17852 |
Article Category | Article |
Authors | El-Dahshan, El-Sayed A., Bassiouni, Mahmoud M., Khare, Smith K., Tan, Ru-San and Acharya, U. Rajendra |
Journal Title | Expert Systems with Applications |
Journal Citation | 239 |
Article Number | 122388 |
Number of Pages | 15 |
Year | 2024 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 0957-4174 |
1873-6793 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.eswa.2023.122388 |
Web Address (URL) | https://www.sciencedirect.com/science/article/abs/pii/S0957417423028907 |
Abstract | Background Objective Methods Results Conclusion |
Keywords | EfficientNetB3 |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 420311. Health systems |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Ain Shams University, Egypt |
Egyptian E-Learning University (EELU), Egypt | |
University of Southern Denmark, Denmark | |
National Heart Centre, Singapore | |
Duke-NUS Medical School, Singapore | |
School of Mathematics, Physics and Computing | |
Centre for Health Research |
https://research.usq.edu.au/item/z5qxw/exhyptnet-an-explainable-diagnosis-of-hypertension-using-efficientnet-with-ppg-signals
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