Diagnosing Parkinson's Disease from Voice Using Random Forest and Conversion in TensorFlow Lite
Year: 2025
Type: article
Abstract: Machine learning system for Parkinson's diagnosis through voice analysis with 92% accuracy, converted to TensorFlow Lite for mobile deployment.
Author: Rossi, Angela
Language: English
Topic: Voice and Speech Disorders
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6949802117
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