Open AccessA Biomedical Voice Measurement Diagnosis of Parkinson’s Disease through the utilization of Artificial Neural Network
Author(s) -
N F M Ayap,
B A Eugenio,
J I V Hinolan,
John Carlo V. Puno,
Renann G. Baldovino,
Robert Kerwin C. Billones
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2071/1/012038
Subject(s) - artificial neural network , multilayer perceptron , computer science , artificial intelligence , field (mathematics) , machine learning , medicine , mathematics , pure mathematics
In 2016 alone, there were a total of 120,000 cases of PD diagnosed and documented, however, experts believe that there are still loss cases which remain to be undiagnosed because of external factors such as medical cost and accuracy of diagnosis. The detection and diagnosis of PD on its early onset has become a problem in the medical field because of the slow progression of its symptoms. With the advent of technology, different diagnosing methods are being introduced and explored - one of which is through the concept of Neural Network. This paper highlights the human voice of patients using Multilayer Perceptron Neural Network (MLP) to accurately diagnose individuals who are diagnosed with PD. It was seen that the MLP classification prediction has achieved an average of 91.5% accuracy.