Diagnosing Parkinson's Disease from Voice Using Random Forest and Conversion in TensorFlow Lite

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Main Author: Rossi, Angela
Format: Recurso digital
Published: Zenodo 2025
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author Rossi, Angela
author_facet Rossi, Angela
contents Machine learning system for Parkinson's diagnosis through voice analysis with 92% accuracy, converted to TensorFlow Lite for mobile deployment.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_15870796
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Diagnosing Parkinson's Disease from Voice Using Random Forest and Conversion in TensorFlow Lite
Rossi, Angela
Parkinson's disease
voice analysis
medical diagnostics
Machine learning system for Parkinson's diagnosis through voice analysis with 92% accuracy, converted to TensorFlow Lite for mobile deployment.
title Diagnosing Parkinson's Disease from Voice Using Random Forest and Conversion in TensorFlow Lite
topic Parkinson's disease
voice analysis
medical diagnostics
url https://doi.org/10.5281/zenodo.15870796