Machine Learning Methods for Predicting Parkinson's Disease Progression
Author:
Affiliation:
1. Vasyl' Stus Donetsk National University,Vinnytsia,Ukraine,21021
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10310175/10310663/10310787.pdf?arnumber=10310787
Reference18 articles.
1. A Systematic Review of Machine Learning Based Gait characteristics in Parkinson’s disease
2. Interpretable Machine Learning on Metabolomics Data Reveals Biomarkers for Parkinson’s Disease
3. Machine learning models for Parkinson’s disease detection and stage classification based on spatial-temporal gait parameters
4. Electrochemical Aptasensors for Parkinson’s Disease Biomarkers Detection
5. Screening performances of an 8-item UPSIT Italian version in the diagnosis of Parkinson’s disease
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1. A Remote Diagnostic System Using Machine Learning for General Disease Detection;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10
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