APPLICATION OF DEEP LEARNING TECHNOLOGY IN DISEASE DIAGNOSIS

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APPLICATION OF DEEP LEARNING TECHNOLOGY IN DISEASE DIAGNOSIS

Journal Title: Nature & Science - Year 2020, Vol 2, Issue 2

Abstract

The rapid development of deep learning technology provides new methods and ideas for assisting physicians in high-precision disease diagnosis. This article reviews the principles and features of deep learning models commonly used in medical disease diagnosis, namely convolutional neural networks, deep belief networks, restricted Boltzmann machines, and recurrent neural network models. Based on several typical diseases, the application of deep learning technology in the field of disease diagnosis is introduced; finally, the future development direction is proposed based on the limitations of current deep learning technology in disease diagnosis.

Authors and Affiliations

Elcin Nizami Huseyn

Keywords

Keywords: Artificial Intelligence; Deep Learning; Disease Diagnosis; Neural Network

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EP ID EP759442
DOI 10.36719/2707-1146/05/4-11
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