Parkinson's disease diagnosis using neural networks: Survey and comprehensive evaluation

Mohammad Tanveer, Ashraf Haroon Rashid, Rahul Kumar, Balasubramanian Raman

Abstract: Highlights•We provide the most relevant information collected from 143 papers published from 2013–2021 on diagnosis and classification of Parkinson’s disease.•We used artificial and deep neural networks in a highly compact manner within this paper.•We design this paper in a manner that enables a reader to objectively compare the network architectures used by the researchers.•We provide insights on various aspects of deep networks and their training configurations used by researchers and discuss their efficacy.•We provide numerous future directions by the help of our discussions and supporting materials.