Diagnosing Parkinson’s Disease Using Voice Features Based On Deep Learning And Information Gain
Author:
Affiliation:
1. Affiliated to Bharathiar University,Vellalar College for Women (Autonomous),Department of Computer Science,Erode,Tamil Nadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10433897/10433900/10434058.pdf?arnumber=10434058
Reference25 articles.
1. An automatic non-invasive method for Parkinson's disease classification
2. Diagnosis of Parkinson's disease on the basis of clinical and genetic classification: a population-based modelling study
3. Classification of Parkinson's Disease Gait Using Spatial-Temporal Gait Features
4. Parkinson's disease: Cause factors, measurable indicators, and early diagnosis
5. Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review
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