Systemic Lupus Erythematosus manifestation using ID3 algorithm - A clinical analysis

Author

Gomathi, S. ; Narayani, V.

Author_Institution

Dept. of Inf. & Comput. Technol., Sri Krishna Arts & Sci. Coll., Coimbatore, India

fYear

2014

fDate

5-6 Sept. 2014

Firstpage

1

Lastpage

5

Abstract

Discovering hidden patterns in medical data and relationship between them is often fallow. Classification technique in data mining is used to discover the hidden knowledge from enormous data. This work is done on predicting the risk of Systemic Lupus Erythematosus (SLE)/ Lupus using data mining classification technique. Decision tree algorithm is used for training set of data. A new proposed framework and an enhanced algorithm is proposed. The classification algorithm is used to reduce the complexity and to increase the performance.

Keywords

data mining; decision trees; diseases; medical computing; pattern classification; ID3 algorithm; SLE; clinical Analysis; data mining classification technique; decision tree algorithm; enormous data; hidden knowledge; hidden patterns; medical data; systemic Lupus Erythematosus manifestation; Algorithm design and analysis; Classification algorithms; Data mining; Decision trees; Diseases; Heart; Prediction algorithms; ID3; Re-enactment; SLEDAI; antinuclear antibody; lupus; malar rash;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Mining and Intelligent Computing (ICDMIC), 2014 International Conference on

Conference_Location

New Delhi

Print_ISBN

978-1-4799-4675-4

Type

conf

DOI

10.1109/ICDMIC.2014.6954265

Filename

6954265