Parkinson’s disease diagnosis using deep learning: A bibliometric analysis and literature review

Author:

Abumalloh Rabab Ali,Nilashi Mehrbakhsh,Samad Sarminah,Ahmadi Hossein,Alghamdi Abdullah,Alrizq Mesfer,Alyami Sultan

Funder

Najran University

Publisher

Elsevier BV

Reference218 articles.

1. Abayomi-Alli, O.O., Damasevicius, R., Maskeliunas, R. & Abayomi-Alli, A. Bilstm with data augmentation using interpolation methods to improve early detection of parkinson disease. In: ganzha, m., maciaszek, l., maciaszek, l. & paprzycki, m., eds., 2020. Institute of electrical and electronics engineers inc., 371-380.

2. Brain inspired cognitive artificial intelligence for knowledge extraction and intelligent instrumentation system;Ahmad,2017

3. Gait spatiotemporal signal analysis for parkinson's disease detection and severity rating;Alharthi;Ieee Sens. J.,2021

4. Convolutional neural network for the detection of parkinson disease based on hand-draw spiral images;Alniemi;Indones. J. Electr. Eng. Comput. Sci.,2023

5. Machine learning approaches to identify parkinson's disease using voice signal features;Alshammri;Front. Artif. Intell.,2023

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