Recognition of the parkinson’s disease using a hybrid feature selection approach

Breast Cancer Detection in the IOT Health Environment Using Modified Recursive Feature Selection

(2019) Muhammad Hammad Memon et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

WiFreeze: Multiresolution Scalograms for Freezing of Gait Detection in Parkinson’s Leveraging 5G Spectrum with Deep Learning

(2019) Ahsen Tahir et al.   Electronics

Relief-Based Feature Selection: Introduction and Review

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

A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms

(2018) Amin Ul Haq et al.   Mobile Information Systems

A New Hybrid Intelligent Framework for Predicting Parkinson’s Disease

(2017) Zhennao Cai et al.   IEEE Access

Groutability estimation of grouting processes with cement grouts using Differential Flower Pollination Optimized Support Vector Machine

(2016) Nhat-Duc Hoang et al.   APPLIED SOFT COMPUTING

A Machine Learning System for the Diagnosis of Parkinson’s Disease from Speech Signals and Its Application to Multiple Speech Signal Types

(2016) İsmail Cantürk et al.   ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING

Evolving support vector machines using fruit fly optimization for medical data classification

(2016) Liming Shen et al.   KNOWLEDGE-BASED SYSTEMS

An efficient hybrid kernel extreme learning machine approach for early diagnosis of Parkinson׳s disease

(2016) Hui-Ling Chen et al.   NEUROCOMPUTING

Binary ant lion approaches for feature selection

(2016) E. Emary et al.   NEUROCOMPUTING

Improving Diagnosis in Health Care: Highlights of a Report From the National Academies of Sciences, Engineering, and Medicine

(2015) John R. Ball et al.   ANNALS OF INTERNAL MEDICINE

An advanced ACO algorithm for feature subset selection

(2015) Shima Kashef et al.   NEUROCOMPUTING

Computer-Aided Diagnosis of Parkinson’s Disease Using Complex-Valued Neural Networks and mRMR Feature Selection Algorithm

(2015) Musa Peker et al.   Journal of Healthcare Engineering

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

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

An ensemble ofk-nearest neighbours algorithm for detection of Parkinson's disease

(2013) Murat Gök   INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings

(2013) B. E. Sakar et al.   IEEE Journal of Biomedical and Health Informatics

Introduction into PPPM as a new paradigm of public health service: an integrative view

(2012) Tatiana A Bodrova et al.   EPMA Journal

A fuzzy-based data transformation for feature extraction to increase classification performance with small medical data sets

(2011) Der-Chiang Li et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis

(2011) Hui-Ling Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity

(2010) A. Tsanas et al.   Journal of the Royal Society Interface

A comparison of multiple classification methods for diagnosis of Parkinson disease

(2009) Resul Das   EXPERT SYSTEMS WITH APPLICATIONS

Telediagnosis of Parkinson’s Disease Using Measurements of Dysphonia

(2009) C. Okan Sakar et al.   JOURNAL OF MEDICAL SYSTEMS

ACO-based hybrid classification system with feature subset selection and model parameters optimization

(2009) Cheng-Lung Huang   NEUROCOMPUTING

Text feature selection using ant colony optimization

(2008) Mehdi Hosseinzadeh Aghdam et al.   EXPERT SYSTEMS WITH APPLICATIONS

Particle swarm optimization for parameter determination and feature selection of support vector machines

(2007) Shih-Wei Lin et al.   EXPERT SYSTEMS WITH APPLICATIONS