Parkinson’s Disease Prediction Using a Stacked Generalization Ensemble of kNN and Its Variants with mRMR Feature Selection

Algorithms for Intelligent Systems - Proceedings of International Conference on Communication and Computational Technologies ◽

10.1007/978-981-15-5077-5_39 ◽

2020 ◽

pp. 421-428

Author(s):

Vinod J. Kadam ◽

Shivajirao M. Jadhav ◽

Mahesh R. Shirsath ◽

Atharv A. Kurdukar

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Feature Selection ◽

Disease Prediction ◽

Stacked Generalization

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A novel ensemble decision tree classifier using hybrid feature selection measures for Parkinson's disease prediction

International Journal of Data Science ◽

10.1504/ijds.2018.096267 ◽

2018 ◽

Vol 3 (4) ◽

pp. 289

Author(s):

Bala Brahmeswara Kadaru ◽

B. Raja Srinivasa Reddy

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Feature Selection ◽

Decision Tree ◽

Disease Prediction ◽

Decision Tree Classifier ◽

Tree Classifier ◽

Selection Measures

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Binary PSO-Based Feature Selection and Neural Network for Parkinson’s Disease Prediction

Advances in Intelligent Systems and Computing - International Conference on Intelligent and Smart Computing in Data Analytics ◽

10.1007/978-981-33-6176-8_2 ◽

2021 ◽

pp. 11-16

Author(s):

K. Naga Sireesha ◽

Babitha Donepudi ◽

Vamsidhar Enireddy

Keyword(s):

Neural Network ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Feature Selection ◽

Disease Prediction ◽

Binary Pso

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A novel ensemble decision tree classifier using hybrid feature selection measures for Parkinson's disease prediction

International Journal of Data Science ◽

10.1504/ijds.2018.10017547 ◽

2018 ◽

Vol 3 (4) ◽

pp. 289

Author(s):

Bala Brahmeswara Kadaru ◽

B. Raja Srinivasa Reddy

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Feature Selection ◽

Decision Tree ◽

Disease Prediction ◽

Decision Tree Classifier ◽

Tree Classifier ◽

Selection Measures

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Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction

Computer Speech & Language ◽

10.1016/j.csl.2021.101216 ◽

2021 ◽

pp. 101216

Author(s):

Biswajit Karan ◽

Sitanshu Sekhar Sahu ◽

Juan Rafael Orozco-Arroyave ◽

Kartik Mahto

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Feature Extraction ◽

Matrix Factorization ◽

Disease Prediction ◽

Time Frequency ◽

Voice Signal ◽

Frequency Feature ◽

Non Negative Matrix Factorization

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Feature Selection and Machine Learning Methods for Optimal Identification and Prediction of Subtypes in Parkinson's Disease

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2021.106131 ◽

2021 ◽

pp. 106131

Author(s):

Mohammad R. Salmanpour ◽

Mojtaba Shamsaei ◽

Arman Rahmim

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Feature Selection ◽

Learning Methods ◽

Machine Learning Methods

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Ensemble Learning Classifier with Optimal Feature Selection for Parkinson's Disease

2020 International Conference on Advances in Computing, Communication & Materials (ICACCM) ◽

10.1109/icaccm50413.2020.9212961 ◽

2020 ◽

Author(s):

Preeti Khera ◽

Neelesh Kumar

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Feature Selection ◽

Ensemble Learning ◽

Learning Classifier ◽

Optimal Feature Selection ◽

Selection For ◽

Optimal Feature

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Application of Adaptive Back-Propagation Neural Networks for Parkinson’s Disease Prediction

2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI) ◽

10.1109/icdabi51230.2020.9325709 ◽

2020 ◽

Author(s):

Jawad Rasheed ◽

Alaa Ali Hameed ◽

Naim Ajlouni ◽

Akhtar Jamil ◽

Adem Ozyavas ◽

...

Keyword(s):

Neural Networks ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Back Propagation ◽

Disease Prediction ◽

Back Propagation Neural Networks

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An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.102452 ◽

2021 ◽

Vol 66 ◽

pp. 102452

Author(s):

Hakan Gunduz

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Feature Selection ◽

Dimensionality Reduction ◽

Reduction Method ◽

Disease Classification ◽

Dimensionality Reduction Method

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Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson’s Disease

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46723-8_1 ◽

2016 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Luyan Liu ◽

Qian Wang ◽

Ehsan Adeli ◽

Lichi Zhang ◽

Han Zhang ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Feature Selection ◽

Correlation Analysis ◽

Canonical Correlation Analysis ◽

Canonical Correlation ◽

Automatic Diagnosis

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Voice-Based Deep Learning Medical Diagnosis System for Parkinson's Disease Prediction

2021 International Congress of Advanced Technology and Engineering (ICOTEN) ◽

10.1109/icoten52080.2021.9493456 ◽

2021 ◽

Author(s):

Asmae Ouhmida ◽

Oumaima Terrada ◽

Abdelhadi Raihani ◽

Bouchaib Cherradi ◽

Soufiane Hamida

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Deep Learning ◽

Medical Diagnosis ◽

Disease Prediction ◽

Diagnosis System ◽

Medical Diagnosis System

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