期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2019
卷号：8
期号：3
页码：229-234
出版社：IJCSN publisher
摘要：The machine learning and health care combination are sharply related. Machine Learning can play a crucial role in predicting
the presence or absence of kidney disease. An effective method for kidney disease prediction is discussed in this work. The proposed
system consists of autoencoder combined with a multilayer perceptron for a classification problem. An autoencoder is an artificial neural
network that trains a model to extracting useful features. We used kidney disease analysis as a case study for simulating the proposed
system and its efficiency is evaluated against the current approaches. An autoencoder is able to integrate into an optimal representation
which is then classified by the MLP network to derive the final output. The proposed system clearly gives a better result than the
traditional ones. This learning method has a good effect on the classification of disease prediction and guidance for the diagnosis of
disease in medical.
