Ataxia and Parkinson's disease patients classification using tree-based machine learning algorithms fed by spatiotemporal features: a pilot study-Reference-Cited by-同舟云学术

Ataxia and Parkinson's disease patients classification using tree-based machine learning algorithms fed by spatiotemporal features: a pilot study

Published:2022-06-22 Issue: Volume: Page:
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Container-title:2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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Author:

Cesarelli Giuseppe¹,Donisi Leandro²,Coccia Armando³,Amitrano Federica³,Biancardi Arcangelo⁴,Lanzillo Bernardo⁵,D'Addio Giovanni⁴

Affiliation:

1. University of Naples “Federico II”,Department of Chemical, Materials and Production Engineering,Naples,Italy

2. University of Naples “Federico II”,Department of Advanced Biomedical Sciences,Naples,Italy

3. University of Naples “Federico II”,Department of Electrical Engineering and Information Technologies,Naples,Italy

4. Bioengineering Unit, ICS Maugeri SPA SB,Telese Terme,Italy

5. Neurorehabilitation Unit, ICS Maugeri SPA SB,Telese Terme,Italy

Publisher

IEEE

Link

Reference52 articles.

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