Open Access   Article Go Back

Suspecting Lupus by Analyzing Rashes using Artificial Neural Networks (ANN)

Payel Saha1 , Rakesh Kumar Mandal2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-10 , Page no. 808-812, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.808812

Online published on Oct 31, 2018

Copyright © Payel Saha, Rakesh Kumar Mandal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Payel Saha, Rakesh Kumar Mandal, “Suspecting Lupus by Analyzing Rashes using Artificial Neural Networks (ANN),” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.808-812, 2018.

MLA Style Citation: Payel Saha, Rakesh Kumar Mandal "Suspecting Lupus by Analyzing Rashes using Artificial Neural Networks (ANN)." International Journal of Computer Sciences and Engineering 6.10 (2018): 808-812.

APA Style Citation: Payel Saha, Rakesh Kumar Mandal, (2018). Suspecting Lupus by Analyzing Rashes using Artificial Neural Networks (ANN). International Journal of Computer Sciences and Engineering, 6(10), 808-812.

BibTex Style Citation:
@article{Saha_2018,
author = {Payel Saha, Rakesh Kumar Mandal},
title = {Suspecting Lupus by Analyzing Rashes using Artificial Neural Networks (ANN)},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {808-812},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3105},
doi = {https://doi.org/10.26438/ijcse/v6i10.808812}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.808812}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3105
TI - Suspecting Lupus by Analyzing Rashes using Artificial Neural Networks (ANN)
T2 - International Journal of Computer Sciences and Engineering
AU - Payel Saha, Rakesh Kumar Mandal
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 808-812
IS - 10
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
428 371 downloads 240 downloads
  
  
           

Abstract

In this research paper lupus disease is suspected using Artificial Neural Networks (ANN). Lupus is a chronic disease which is not curable. But it can be controlled by early diagnosis. By analyzing various symptoms it is very difficult to diagnose lupus manually. This paper is an approach to diagnose lupus in an efficient way with the help of ANN. An ANN has been designed here to suspect lupus. The ANN consists of many neurons associated with weights. Each neuron represents each symptom. Here patients are classified into two categories: infected and non-infected. Classification is an important tool in medical diagnosis. The data was collected from North Bengal Medical College for training the net.

Key-Words / Index Term

Disease Suspection, Artificial Neural Networks (ANN), SLR

References

[1] Farhad Soleimanian Gharehchopogh, Maryam Molany and Freshte DabaghchiMokri, “Using Artificial Neural Network in diagnosis of thyroid disease”: a caseStudy, International Journal Computational Sciences & Applications (IJCSA) Vol.3, No.4, August 2013.
[2] R. Dey, V. Bajpai, G. Gandhi, B. Dey, “Application of Artificial Neural Network (ANN) technique for Diagnosing Diabetes Mellitus”, the Third international Conference on Industrial and Information Systems(ICIIS), PP.1-4, IEEE, Kharagpur, India,2008..
[3] F.S. Gharehchopogh, Z.A. Khalifelu,” Neural Network Application in Diagnosis of Patient: A CaseStudy”, International Conference on Computer Networks and Information Technology (ICCNIT), PP- 245 – 249, Abbottabad, Pakistan, 2011.Study”, International Conference on Computer Networks and Information Technology (ICCNIT), PP. 245 – 249, Abbottabad, Pakistan, 2011.
[4] Payel Saha, Rakesh Kumar Mandal “Detection Of Dengue Disease using Artificial neural Network” International Journal of Computer Sciences and Engineering , May 12, 2016.
[5] Laurene Fausett, “ Fundamentals of Neural Networks”
[6]http://timesofindia.indiatimes.com/life-style/health-fitness/health-news/Living-with-lupus/articleshow/29909854.cms (Available online)
[7]https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3380630/#R11(Available online)