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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 3, MARCH 2017

A Review on Automated Disease Diagnosis Techniques

Sunena Rose M V, Dr. Sobhana N. V

DOI: 10.17148/IJARCCE.2017.63187

Abstract: The development of computer technologies and increased expenditure of healthcare are the reasons for innovation of automated disease inference system. Automated disease inference system will give the disease information which a person is facing on the basis of health related questions. Using this system health seeker will get immediate response as compared to the existing system. Diseases and symptoms are collected and used as the Question Answer pairs. In this paper, a survey of different techniques for automatic disease diagnosis is done. In shallow learning methods, which make use of patient details from hospital records with structured fields, they can focus on only a single or a few diseases. The automated scheme can deals with wide range of diseases which posses scalability and generalizability.



Keywords: Support Vector Machine; Neural Network; Deep Learning; Decision Tree Induction.

How to Cite:

[1] Sunena Rose M V, Dr. Sobhana N. V, “A Review on Automated Disease Diagnosis Techniques,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.63187