KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network-Reference-Cited by-同舟云学术

KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network

Published:2019-06-04 Issue:47-48 Volume:79 Page:35425-35440
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Khamparia Aditya,Saini Gurinder,Pandey Babita,Tiwari Shrasti,Gupta Deepak^ORCID,Khanna Ashish

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-019-07839-z.pdf

Reference33 articles.

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4. Arasu SD, Thirumalaiselvi R (2017) A novel imputation method for effective prediction of coronary Kidney disease. Proc. 2017 2nd Int. Conf. Comput. Commun. Technol. ICCCT 2017, pp. 127–136

5. Avci E, Extraction AD (2018) Performance Comparison of Some Classifiers on Chronic Kidney Disease Data

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