alexa Neural network-based approach to discriminate healthy people from those with Parkinson's disease


Journal of Biosensors & Bioelectronics

Author(s): Marius Ene

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This papers deals with the application of some probabilistic neural network (PNN) variants to discriminate between healthy people and people with Parkinson's disease. Three PNN types have been used in this classiØcation process, related to the smoothing factor search: incremental search (IS), Monte Carlo search (MCS) and hybrid search (HS). The concrete application has provided diagnosis accuracies ranging between 79% and 81% for new, undiagnosed patients.

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This article was published in Annals of the University of Craiova and referenced in Journal of Biosensors & Bioelectronics

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