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Identification of Risk Factors for Early Childhood Diseases Using Association Rules Algorithm with Feature Reduction Cover

Identification of Risk Factors for Early Childhood Diseases Using Association Rules Algorithm with Feature Reduction

Cybernetics and Information Technologies
Volume 19 (2019): Issue 3 (September 2019)
By: Indah Werdiningsih,  Rimuljo Hendradi,  Purbandini,  Barry Nuqoba and  Elly Ana  
Open Access
|Sep 2019

Authors

Indah Werdiningsih

indah-w@fst.unair.ac.id

Information System Study Program, Department of Mathematics, Airlangga University, Surabaya, Indonesia

Rimuljo Hendradi

rimuljohendradi@fst.unair.ac.id

Information System Study Program, Department of Mathematics, Airlangga University, Surabaya, Indonesia

Purbandini

purbandini@fst.unair.ac.id

Information System Study Program, Department of Mathematics, Airlangga University, Surabaya, Indonesia

Barry Nuqoba

barry-nuqoba@fst.unair.ac.id

Information System Study Program, Department of Mathematics, Airlangga University, Surabaya, Indonesia

Elly Ana

elly-a@fst.unair.ac.id

Statistics Study Program, Department of Mathematics, Airlangga University, Surabaya, Indonesia
DOI: https://doi.org/10.2478/cait-2019-0031 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 154 - 167
Submitted on: Jan 4, 2019
|
Accepted on: Jun 7, 2019
|
Published on: Sep 26, 2019
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Early childhood diseases,
PCA,
Medical record,
Apriori Algorithm
Related subjects:
Computer sciences,
Information technology

© 2019 Indah Werdiningsih, Rimuljo Hendradi, Purbandini, Barry Nuqoba, Elly Ana, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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