id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_id5zxekuovexhaprgj7hcbt6tm	Sulis Sandiwarno	Developing an Expert System Application to Detect Childs' Lung Disease	2020	6	.pdf	application/pdf	2390	291	64	International Journal of Scientific Research in Computer Science, Engineering and Information Technology International Journal of Scientific Research in Computer Science, Engineering and Information Technology Developing an Expert System Application to Detect Childs' Lung studies have evaluated models from expert systems to diagnose lung disease in children using Naïve Bayes (NB) and Support Vector Machine (SVM). expert system is a program based on a set of rules that 2.2 Support Vector Machine (SVM) to Detect Childs' classification in data mining and machine learning, SVM in evaluating lung symptoms in children [5, 6]. The expert system, for diagnosing lung disease, 3.2.2 Support Vector Machine (SVM) 3.2.2 Support Vector Machine (SVM) DATA CLASSIFICATION RESULTS FROM SVM the 7th iteration SVM displays the results of 79.26% classification results of 74.7% and SVM displays the based on the results of data classification that has the kids' lung based on Naïve Bayes (NB) and Support 	./cache/work_id5zxekuovexhaprgj7hcbt6tm.pdf	./txt/work_id5zxekuovexhaprgj7hcbt6tm.txt