A comparative study of machine learning models for Parkinson's disease detection
C Bunterngchit, Y Bunterngchit - … International Conference on …, 2022 - ieeexplore.ieee.org
Parkinson's disease is a major public health concern, affecting over 6 million people
worldwide. The objective of this paper is to assist doctors and clinicians in accurately …
worldwide. The objective of this paper is to assist doctors and clinicians in accurately …
[图书][B] Evolutionary Intelligence for Healthcare Applications
This book highlights various evolutionary algorithm techniques for various medical
conditions and introduces medical applications of evolutionary computation for real-time …
conditions and introduces medical applications of evolutionary computation for real-time …
[PDF][PDF] Measuring the Accuracy of A Voiceprint Analysis System Designed by Applying the Euclidean Distance Function and Genetic Algorithm
A Barakat, A Naqra, A Hussian - SSRG International Journal of …, 2024 - researchgate.net
This research aims to measure the accuracy of the work of the voiceprint analysis system.
The system comprises three stages:(i) recording voice, deleting noise, and extracting the …
The system comprises three stages:(i) recording voice, deleting noise, and extracting the …
Diagnosis of Parkinson Disease Using Ensemble Methods for Class Imbalance Problem
Parkinson disease (PD) is the most prevalent degenerative neurological disorders that is
incurable. Early PD diagnosis is essential in order to determine the initial course of …
incurable. Early PD diagnosis is essential in order to determine the initial course of …