Neural network and support vector machine for the prediction of chronic kidney disease: A comparative study

Author:

Almansour Njoud Abdullah,Syed Hajra Fahim,Khayat Nuha Radwan,Altheeb Rawan Kanaan,Juri Renad Emad,Alhiyafi Jamal,Alrashed Saleh,Olatunji Sunday O.

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference37 articles.

1. End-stage chronic kidney disease in Saudi Arabia. A rapidly changing scene;Al-Sayyari;Saudi Med. J.,2011

2. Clinical risk assessment of patients with chronic kidney disease by using clinical data and multivariate models;Chen;Int. Urol. Nephrol.,2016

3. Support vector machines for classification and regression;Brereton;Analyst,2010

4. Importance of artificial neural networks for location of faults in transmission systems;Survey;Surveyor,2017

5. Support vector machine classification and validation of cancer tissue samples using microarray expression data;Furey,2000

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