A mixed classification approach for the prediction of Parkinson's disease using nonlinear feature selection technique based on the voice recording

Research article (2017 International Conference on Inventive Computing and Informatics (ICICI), 2017) · cited 13× · AI/ML
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A mixed classification approach for the prediction of Parkinson's disease using nonlinear feature selection technique based on the voice recording

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A mixed classification approach for the prediction of Parkinson's disease using nonlinear feature selection technique based on the voice recording is a scholarly article[1].

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  • A mixed classification approach for the prediction of Parkinson's disease using nonlinear feature selection technique based on the voice recording's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A mixed classification approach for the prediction of Parkinson's disease using nonlinear feature selection technique based on the voice recording. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-mixed-classification-approach-for-the-prediction-of-parkinson-s-disease-using-nonlinear-feature-selection-technique-ba
MLA “A mixed classification approach for the prediction of Parkinson's disease using nonlinear feature selection technique based on the voice recording.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-mixed-classification-approach-for-the-prediction-of-parkinson-s-disease-using-nonlinear-feature-selection-technique-ba.
BibTeX @misc{4ortxyz_a-mixed-classification-approach-for-the-prediction-of-parkinson-s-disease-using-nonlinear-feature-selection-technique-ba_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A mixed classification approach for the prediction of Parkinson's disease using nonlinear feature selection technique based on the voice recording}}, year = {2026}, url = {https://4ort.xyz/entity/a-mixed-classification-approach-for-the-prediction-of-parkinson-s-disease-using-nonlinear-feature-selection-technique-ba}, note = {Accessed: 2026-05-24}}
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