Diagnosis of Chronic Kidney Disease Based on Support Vector Machine by Feature Selection Methods

Clinical risk assessment of patients with chronic kidney disease by using clinical data and multivariate models

(2016) Zewei Chen et al.   INTERNATIONAL UROLOGY AND NEPHROLOGY

A Soft Computing Approach to Kidney Diseases Evaluation

(2015) José Neves et al.   JOURNAL OF MEDICAL SYSTEMS

Application of genetic algorithm and greedy stepwise to select input variables in classification tree models for the prediction of habitat requirements of Azolla filiculoides (Lam.) in Anzali wetland, Iran

(2013) Roghayeh Sadeghi et al.   ECOLOGICAL MODELLING

An end stage kidney disease predictor based on an artificial neural networks ensemble

(2013) Tommaso Di Noia et al.   EXPERT SYSTEMS WITH APPLICATIONS

Genetic algorithm wrapped Bayesian network feature selection applied to differential diagnosis of erythemato-squamous diseases

(2012) Akın Özçift et al.   DIGITAL SIGNAL PROCESSING

Using support vector machines with a novel hybrid feature selection method for diagnosis of erythemato-squamous diseases

(2010) Juanying Xie et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of breast cancer by profiling of urinary RNA metabolites using Support Vector Machine-based feature selection

(2009) Carsten Henneges et al.   BMC CANCER

Feature selection and syndrome prediction for liver cirrhosis in traditional Chinese medicine

(2009) Yan Wang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting

(2009) R. Chaves et al.   NEUROSCIENCE LETTERS

Penalized feature selection and classification in bioinformatics

(2008) S. Ma et al.   BRIEFINGS IN BIOINFORMATICS

Support vector machines combined with feature selection for breast cancer diagnosis

(2008) Mehmet Fatih Akay   EXPERT SYSTEMS WITH APPLICATIONS

Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods

(2007) Baek Hwan Cho et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Feature selection for the SVM: An application to hypertension diagnosis

(2006) Chao-Ton Su et al.   EXPERT SYSTEMS WITH APPLICATIONS