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

Automatic Parkinson disease detection at early stages as a pre-diagnosis tool by using classifiers and a small set of vocal features

(2020) Gabriel Solana-Lavalle et al.   Biocybernetics and Biomedical Engineering

A Unified Deep Learning Approach to prediction of parkinson's Disease

(2020) Stefanos Kollias et al.   IET Image Processing

Parkinson disease classification using one against all based data sampling with the acoustic features from the speech signals

(2020) Kemal Polat et al.   MEDICAL HYPOTHESES

Local discriminant preservation projection embedded ensemble learning based dimensionality reduction of speech data of Parkinson’s disease

(2020) Yuchuan Liu et al.   Biomedical Signal Processing and Control

Automated detection of Parkinson's disease using minimum average maximum tree and singular value decomposition method with vowels

(2019) Turker Tuncer et al.   Biocybernetics and Biomedical Engineering

Predicting Parkinson's Disease Genes Based on Node2vec and Autoencoder

(2019) Jiajie Peng et al.   Frontiers in Genetics

Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection

(2019) Liaqat Ali et al.   EXPERT SYSTEMS WITH APPLICATIONS

An efficient compression of ECG signals using deep convolutional autoencoders

(2018) Ozal Yildirim et al.   Cognitive Systems Research

Feature-driven machine learning to improve early diagnosis of Parkinson's disease

(2018) Luca Parisi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Relief-Based Feature Selection: Introduction and Review

(2018) Ryan J. Urbanowicz et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Deep learning for sensor-based activity recognition: A Survey

(2018) Jindong Wang et al.   PATTERN RECOGNITION LETTERS

A survey on computer-assisted Parkinson's Disease diagnosis

(2018) Clayton R. Pereira et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform

(2018) C. Okan Sakar et al.   APPLIED SOFT COMPUTING

Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson’s disease

(2018) Salama A. Mostafa et al.   Cognitive Systems Research

Speaker identification features extraction methods: A systematic review

(2017) Sreenivas Sremath Tirumala et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multiple Kernel Learning for Hyperspectral Image Classification: A Review

(2017) Yanfeng Gu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System

(2017) Gunasekaran Manogaran et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Stock daily return prediction using expanded features and feature selection

(2017) Hakan GÜNDÜZ et al.   Turkish Journal of Electrical Engineering and Computer Sciences

Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network

(2017) Min Chen et al.   IEEE Transactions on Big Data

Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease

(2016) Zoltan Galaz et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A new hybrid intelligent system for accurate detection of Parkinson's disease

(2014) M. Hariharan et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Effective detection of Parkinson's disease using an adaptive fuzzy k-nearest neighbor approach

(2013) Wan-Li Zuo et al.   Biomedical Signal Processing and Control

Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease

(2012) A. Tsanas et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Selection of vocal features for Parkinson's Disease diagnosis

(2012) Olcay Kursun et al.   International Journal of Data Mining and Bioinformatics

Comparing exercise in Parkinson's disease-the Berlin BIG Study

(2010) Georg Ebersbach et al.   MOVEMENT DISORDERS

Parkinson's disease: clinical features and diagnosis

(2008) J Jankovic   JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY