An improved framework for Parkinson’s disease prediction using Variational Mode Decomposition-Hilbert spectrum of speech signal

Journal of Applied Biomedicine ◽

10.1016/j.bbe.2021.04.014 ◽

2021 ◽

Author(s):

Biswajit Karan ◽

Sitanshu Sekhar Sahu

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Speech Signal ◽

Disease Prediction ◽

Variational Mode Decomposition ◽

Hilbert Spectrum ◽

Mode Decomposition

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A New Approach to Detection of Parkinson’s Disease Using Variational Mode Decomposition Method and Deep Neural Networks

10.1109/tiptekno53239.2021.9632951 ◽

2021 ◽

Author(s):

Er Rumeysa ◽

Ramis Ileri ◽

Fatma Latifoglu

Keyword(s):

Neural Networks ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Decomposition Method ◽

Deep Neural Networks ◽

Variational Mode Decomposition ◽

New Approach ◽

Mode Decomposition

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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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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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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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Parkinson's Disease Diagnosis Based on Multivariate Deep Features of Speech Signal

2018 IEEE Life Sciences Conference (LSC) ◽

10.1109/lsc.2018.8572136 ◽

2018 ◽

Cited By ~ 1

Author(s):

P. Khojasteh ◽

R. Viswanathan ◽

B. Aliahmad ◽

S. Ragnav ◽

P. Zham ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Speech Signal ◽

Disease Diagnosis

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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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Data Augmentation Using GAN for Parkinson’s Disease Prediction

Lecture Notes in Electrical Engineering - Recent Innovations in Computing ◽

10.1007/978-981-15-8297-4_47 ◽

2021 ◽

pp. 589-597

Author(s):

Sukhpal Kaur ◽

Himanshu Aggarwal ◽

Rinkle Rani

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Data Augmentation ◽

Disease Prediction

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Analysis of phonation in patients with Parkinson's disease using empirical mode decomposition

2015 International Symposium on Signals, Circuits and Systems (ISSCS) ◽

10.1109/isscs.2015.7203931 ◽

2015 ◽

Cited By ~ 8

Author(s):

Zdenek Smekal ◽

Jiri Mekyska ◽

Zoltan Galaz ◽

Zdenek Mzourek ◽

Irena Rektorova ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Empirical Mode Decomposition ◽

Mode Decomposition

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Parkinson's disease prediction using machine learning approaches

2013 Fifth International Conference on Advanced Computing (ICoAC) ◽

10.1109/icoac.2013.6921958 ◽

2013 ◽

Cited By ~ 11

Author(s):

Gokul S. ◽

Sivachitra M. ◽

Vijayachitra S.

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Disease Prediction ◽

Learning Approaches

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Comparative analysis of four disease prediction models of Parkinson’s disease

Molecular and Cellular Biochemistry ◽

10.1007/s11010-015-2574-0 ◽

2015 ◽

Vol 411 (1-2) ◽

pp. 127-134

Author(s):

Nadella Kumudini ◽

Shaik Mohammad Naushad ◽

Balraj Alex Stanley ◽

Manoharan Niveditha ◽

Gunasekaran Sharmila ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Comparative Analysis ◽

Prediction Models ◽

Disease Prediction

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