[1. Yanto, B. F., I. Werdiningsih, E. Purwanti. Expert System Application of Early Childhood Diseases Diagnosis Using Forward Chaining Method. – J. Inf. Syst. Eng. Bus. Intell., Vol. 3, Indonesian Version, 2017, No 1, pp. 61-67.10.20473/jisebi.3.1.61-67]Search in Google Scholar
[2. Bank, W. World Development Report: Investing in Health. 1993.]Search in Google Scholar
[3. Garenne, M., C. Ronsmans, H. Campbell. The Magnitude of Mortality from Acute Respiratory Infections in Children under 5 Years in Developing Countries. – World Health Stat. Q., Vol. 45, 1992, No 2-3, pp. 180-191.]Search in Google Scholar
[4. D. O. M., C. Monteiro, J. Akré, G. Clugston. Global Database on Child Growth and Malnutrition the Worldwide Magnitude of Protein – Energy Malnutrition : An Overview from the WHO Global Database on Child Growth. – Bull. World Health Organ., Vol. 71, 2015, No December, p. 2015.]Search in Google Scholar
[5. Koh, H. C., G. Tan. Data Mining Applications in Healthcare. – J. Healthc. Inf. Manag., Vol. 19, 2011, No 2, pp. 64-72.]Search in Google Scholar
[6. Demetrovics, J., H. M. Quang, N. V. Ank, V. D. Thi. – An Optimization of Closed Frequent Subgraph Mining Algorithm. – Cybernetics and Information Technologies, Vol. 17, 2017, No 1, pp. 3-15.10.1515/cait-2017-0001]Search in Google Scholar
[7. Venkatram, K., M. A. Geetha. Review on Big Data & Analytics – Concepts, Philosophy, Process and Applications. – Cybernetics and Information Technologies, Vol. 17, 2017, No 2, pp. 3-27.10.1515/cait-2017-0013]Search in Google Scholar
[8. Jain, D., S. Gautam. Implementation of Apriori Algorithm in Health Care Sector: Data Mining in Health Care Sector. – Int. J. Comput. Sci. Commun. Eng., Vol. 2, 2013, No 4, pp. 26-32.]Search in Google Scholar
[9. Agrawal, R., H. Mannila, R. Srikant, H. Toivonen, A. Verkamo. Fast Discovery of Association Rules. – Advances in Knowledge Discovery and Data Mining, Vol. 12. 1996, pp. 307-328.]Search in Google Scholar
[10. Wu, M., H. Sakai. On Parallelization of the NIS-Apriori Algorithm for Data Mining. – Procedia Comput. Sci., Vol. 60, 2015, No 1, pp. 623-631.10.1016/j.procs.2015.08.198]Search in Google Scholar
[11. Jabbar, M. A., B. I. Deekshatulu, P. Chandra. Heart Disease Classification Using Nearest Neighbor Classifier with Feature Subset Selection. – Anale. Comput. Sci. Ser., Vol. XI, 2013, pp. 47-54.]Search in Google Scholar
[12. Jain, D., V. Singh. Feature Selection and Classification Systems for Chronic Disease Prediction: A Review. – Egypt. Informatics J., 2018.10.1016/j.eij.2018.03.002]Search in Google Scholar
[13. Han, J. J. P., M. Kamber. Data Mining Concepts and Techniques. Third Edition. Elsevir, 2012.]Search in Google Scholar
[14. Martono, G. H., T. B. Adji, N. A. Setiawan. PCA Implementation for Reducing Factors Influencing Coronary Heart Diseases. – In: Seminar Nasional “Science, Engineering and Technology”, Indonesian Version, 2012, pp. 1-5.]Search in Google Scholar
[15. Tang, J., S. Alelyani, H. Liu. Feature Selection for Classification: A Review. – Data Classif. Algorithms Appl., 2014, pp. 37-64.]Search in Google Scholar
[16. Borah, A., B. Nath. Identifying Risk Factors for Adverse Diseases Using Dynamic Rare Association Rule Mining. – Expert Syst. Appl., Vol. 113, 2018, pp. 233-263.10.1016/j.eswa.2018.07.010]Search in Google Scholar
[17. Duda, R. O., P. E. Hart, D. G. Stork. Pattern Classification. Second Edition. Viley, 2001.]Search in Google Scholar
[18. Haykin, S. Neural Network. 2005.]Search in Google Scholar
[19. Bennett, S. E., S. Lane, D. Mcmillen. Optimization of Association Rule Mining Apriori Algorithm Using ACO. – Int. J. Soft Comput. Eng., 2016, No 1, pp. 24-26.]Search in Google Scholar
[20. Indonesian Government of Health. Manajemen Terpadu Balita Sakit (MTBS). Indonesian Version, 2011.]Search in Google Scholar
[21. Indonesian Government of Health. Decision from Health Ministery of Indonesian Government Number 1995 Years 2010 about Antropometry Standard on Evaluating Children Nutrition. Indonesian Version, 2010.]Search in Google Scholar
[22. Sharma, S. Applied Multivariate Techniques Subhash Sharma. 1996.]Search in Google Scholar
[23. Jolliffe, I. T. Principal Component Analysis. Second Edition. – Springer Ser. Stat., Vol. 98, 2002. 487 p..]Search in Google Scholar
[24. Romero, C., J. R. Romero, J. M. Luna, S. Ventura. Mining Rare Association Rules from e-Learning Data. – Virchows Arch, Vol. 442, 2003, No 5, pp. 462-467.]Search in Google Scholar