MELPD-Detector: Multi-level ensemble learning method based on adaptive data augmentation for Parkinson disease detection via free-KD
Author:
Funder
National Science Fund for Distinguished Young Scholars
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42486-024-00152-1.pdf
Reference36 articles.
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2. Al-Kuraishy, H.M., Jabir, M.S., Al-Gareeb, A.I., Albuhadily, A.K.: The conceivable role of prolactin hormone in parkinson disease: the same goal but with different ways. Age. Res. Rev. 102075 (2023)
3. Arroyo-Gallego, T., Ledesma-Carbayo, M.J., Sánchez-Ferro, A., Butterworth, I., Mendoza, C.S., Matarazzo, M., Montero, P., López-Blanco, R., Puertas-Martin, V., Trincado, R., et al.: Detection of motor impairment in Parkinson’s disease via mobile touchscreen typing. IEEE Trans. Biomed. Eng. 64(9), 1994–2002 (2017)
4. Batiha, G.E.-S., Al-Kuraishy, H.M., Al-Gareeb, A.I., Elekhnawy, E.: Sirt1 pathway in Parkinson’s disease: a faraway snapshot but so close. Inflammopharmacology 31(1), 37–56 (2023)
5. Bernardo, L.S., Damaševičius, R., Ling, S.H., Albuquerque, V.H.C., Tavares, J.M.R.: Modified squeezenet architecture for Parkinson’s disease detection based on keypress data. Biomedicines 10(11), 2746 (2022)
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