mlsanityData to 14 Oct 2026

PD-ADSV: An Automated Diagnosing System Using Voice Signals and Hard Voting Ensemble Method for Parkinson's Disease

arXiv 2304.06016 ↗First posted 11 Apr 2023cs.SD cs.LG eess.AScited by 1

Not on the map. Why?

Abstract (arXiv)

Parkinson's disease (PD) is the most widespread movement condition and the second most common neurodegenerative disorder, following Alzheimer's. Movement symptoms and imaging techniques are the most popular ways to diagnose this disease. However, they are not accurate and fast and may only be accessible to a few people. This study provides an autonomous system, i.e., PD-ADSV, for diagnosing PD based on voice signals, which uses four machine learning classifiers and the hard voting ensemble method to achieve the highest accuracy. PD-ADSV is developed using Python and the Gradio web framework.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 10 of its 40 references that are in the map. First posted on arXiv 11 Apr 2023.

Builds on

10 of 40 references.

References · 10

  1. 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,166
  2. 2019Gradio: Hassle-Free Sharing and Testing of ML Models in the Wildcited by 178
  3. 2020An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagerycited by 25
  4. 2021Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostcited by 8
  5. 2021A novel framework based on deep learning and ANOVA feature selection method for diagnosis of COVID-19 cases from chest X-ray Imagescited by 6
  6. 2022Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBMcited by 4
  7. 2022Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBMcited by 3
  8. 2022CP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsycited by 3
  9. 2022Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and Hard Voting Ensemble Methodcited by 3
  10. 2022Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methodscited by 2

Built on by

Cited by year

Citing papers per year: 2023: 1.

1 paper.