Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method
Author:
Affiliation:
1. Electrical and Computer Engineering Department, Semnan University, Semnan, Iran
2. Department of Computer Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
Publisher
Informa UK Limited
Subject
Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10255842.2023.2263125
Reference92 articles.
1. Classification of Breast Tumors Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
2. Addressing the missing data challenge in multi-modal datasets for the diagnosis of Alzheimer’s disease
3. Detecting Parkinson’s disease with sustained phonation and speech signals using machine learning techniques
4. Enhancing the efficacy of depression detection system using optimal feature selection from EHR
5. An Interpretable Prediction Model for Identifying N7-Methylguanosine Sites Based on XGBoost and SHAP
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