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Comparative Performance Analysis of Machine Learning Classifiers in Detection of Childhood Pneumonia Using Chest Radiographs

2013; Elsevier BV; Volume: 18; Linguagem: Inglês

10.1016/j.procs.2013.05.444

1877-0509

Rafael T. Sousa, Oge Marques, Fabrízzio Soares, Iwens I.G. Sene, Leandro L.G. de Oliveira, Edmundo Sérgio Spoto,

AI in cancer detection

This work extends PneumoCAD, a Computer-Aided Diagnosis system for detecting pneumonia in infants using radiographic images [1], with the aim of improving the system's accuracy and robustness. We implement and compare three contemporary machine learning classifiers, namely: Näıve Bayes, K-Nearest Neighbor (KNN), and Support Vector Machines (SVM). Results of our experiments demonstrate that the SVM classifier produces the best overall results.