Missing values imputation based on fuzzy C-Means algorithm for classification of chronic obstructive pulmonary disease (COPD)-Reference-Cited by-同舟云学术

Missing values imputation based on fuzzy C-Means algorithm for classification of chronic obstructive pulmonary disease (COPD)

Published:2019 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
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Author:

Aristiawati Kiki,Siswantining Titin,Sarwinda Devvi,Soemartojo Saskya Mary

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5139149

Reference11 articles.

1. Global Initiative for Chronic Obstructive Lung Disease (GOLD), Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Pulmonary Disease (2018 Report). (Global Initiative for Chronic Obstructive Lung Disease Inc, 2018)

2. World Health Organization. Global Health Estimates 2016: Deaths by Cause, Age, Sex, by Country and by Region 2000-2016. (WHO, Geneva, 2018)

3. Carpenter, J. R. and Kenward, M. G., Multiple Imputation and Its Application (Department of Medical Statistics, London School of Hygiene and Tropical Medicine: Wiley, 2013).

4. Garson, G. D. Missing Values Analysis & Data Imputation (Statistical Publishing Associates, 2015)

5. FCMPSO: An Imputation for Missing Data Features in Heart Disease Classification

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