SURVEY ON PREDICTING SLE IN PREGNANT WOMEN BY USING CLASSIFICATION ALGORITHM

Article Sidebar

PDF Untitled
Published: Aug 28, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i7.4395
Keywords:
SLE, data mining, decision tree, artificial neural network

Main Article Content

Dithy MD Rahul
Sri Ramakrishna college of arts and science for women. Bharathiyar unversity
Dr. V. Krishnapriya

Abstract

Abstract: Systemic lupus erythematosus (SLE) is a chronic immune disease that affects both male and female, but mostly it is caused by the female during menstrual periods which almost affect all the organs of the human body. Predicting this disease is difficult in the early stage the patients suffering from SLE live their life with treatment. Women are having SLE faces many risks during pregnancy due this abortion occur and infant is born with less weight. After predicting the patient’s disease, it is difficult to store in a huge database, it includes patient’s complete history. Thus the data mining, classification approach is used for the competent analysis of the information to predict the disease in advance. This review is about predicting the database of the patients having SLE by using classification algorithm.

Downloads

Download data is not yet available.

Article Details

Issue
Vol. 8 No. 7 (2017): July-August 2017
Section
Articles

COPYRIGHT

Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
  • The journal allows the author(s) to retain publishing rights without restrictions.
  • The journal allows the author(s) to hold the copyright without restrictions.
Author Biography

Dithy MD Rahul, Sri Ramakrishna college of arts and science for women. Bharathiyar unversity

computer science

References

M. Akbarian, S.T. Faezi, F. Gharibdoost, F. Shahram, A. Nadji, A.R. Jamshidi, M. Akhlaghi, N.Shafaie, M. Akhlaghkhah, F. Davatchi, Systemic lupus erythematosus in Iran: a study of 2280 patients over 33 years, Int. J. Rheum. Dis. 13 (4) (2010) 374-379.

M.A. Khamashta, Systemic lupus erythematosus and pregnancy, Best Pract. Res. Clin. Rheumatol.20 (4) (2006) 685-94.

M. Akbarian, A. Rostamian. Systematic Lupus Erythmatosus,TehranUniversityof MedicalMScience, Tehran, 2011

A.G. Singh, V.R. Chowdhary, Pregnancyâ€related issues in women with systemic lupuserythematosus, Int. J. Rheum. Dis. 18 (2) (2014) 172-81.

C.C. Mok, R.W.S. Wong, Pregnancy in systemic lupus erythematosus, Postgrad. Med. J. 77 (905)

(2001) 157-65.

Srinivas, “Novel approach for heart prediction verdict using data mining techniqueâ€, International Journal of Computer Science and Engineering. 2010 .

George Bertsias, Ricard Cervera, Dimitrios Boumpas, “Systemic Lupus Erythematosus: Pathogenesis and Clinical featuresâ€, EULAR textbook on Rheumatic Disease.

Khadijeh Paydar, Sharareh R. Niakan Kalhori, Mahmoud Akbarian, Abbas Sheikhtaheri, “A Clinical Decision Support System for Prediction of Pregnancy Outcome in Pregnant Women with Systemic Lupus Erythematosus.

Ceccarelli, Sciandrone,M, Perricone, Galvan G, Morelli F, Vicente LN, “Prediction of chronic damage in systemic lupus erythematosus by using machine-learning modelsâ€. . 2017 March.

P. Lapuerta, S.P. Azen, L. LaBree, Use of neural networks in predicting the risk of coronary

Artery disease, Comput. Biomed. Res. 28 (1) (195) 38-52.

I. Kurt, M. Tour, A.T. Quorum, Comparing the performances of logistic regression, classification and Regression tree, and neural networks for predicting coronary artery disease, Expert Syst. App. 34 (1)

(2008) 366-74.

Khadijeh Paydar, Sharareh R. Niakan Kalhori, Mahmoud Akbarian, Abbas Sheikhtaheri, “A Clinical Decision Support System for Prediction of Pregnancy Outcome in Pregnant Women with Systemic Lupus Erythematosus.