A Contemporary Study of Deep Learning in Diagnosis and Prediction of Diseases

7 Pages Posted: 25 Nov 2020

See all articles by Sayyada Hajera Beguma

Sayyada Hajera Beguma

Koneru Lakshmaiah Education Foundation

Vidyullatha P

Koneru Lakshmaiah Education Foundation

Date Written: November 20, 2020

Abstract

With the introduction of big data and its incredible advancement in image procurement devices, the transformation of medical data into valuable knowledge has become an important challenge in the area of bioinformatics. The medical images procured require huge analysis and diagnosis of images which can be done using Artificial Intelligence techniques like Machine learning and Deep Learning that yields automated diagnosis solutions. Deep learning methods can provide optimized and precise solutions for medical image diagnosis and can be an important methodology for imminent health care applications. In this paper, some contemporary deep learning neural networks will be discussed and their application in detecting various diseases.

Keywords: CNN, DNN, RNN, Deep Learning, Machine Learning

Suggested Citation

Beguma, Sayyada Hajera and P, Vidyullatha, A Contemporary Study of Deep Learning in Diagnosis and Prediction of Diseases (November 20, 2020). Proceedings of the 2nd International Conference on IoT, Social, Mobile, Analytics & Cloud in Computational Vision & Bio-Engineering (ISMAC-CVB 2020), Available at SSRN: https://ssrn.com/abstract=3734301 or http://dx.doi.org/10.2139/ssrn.3734301

Sayyada Hajera Beguma (Contact Author)

Koneru Lakshmaiah Education Foundation ( email )

Vaddeswaram
Green Fields
Guntur, Andhra Pradesh 522502
India

Vidyullatha P

Koneru Lakshmaiah Education Foundation ( email )

Vaddeswaram
Green Fields
Guntur, Andhra Pradesh 522502
India

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