Online ISSN: 2515-8260

Keywords : KNN classifier


DEEP BELIEF NETWORK (DBN) CLASSIFICATION FOR LUNG CANCER PREDICTION USING KNN CLASSIFIER

V. Shanthi; G. Sridevi; R. Charanya; J. Josphin Mary

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 1384-1389
DOI: 10.31838/ejmcm.07.09.142

Lung cancer is the one of the deadliest disease in the world. Cancer is a disease in which cells develop out of balance in the body. Lung cancer is the primary cause of cancer mortality among both men and women in the United States, and the second most diagnosed disease. After decades of growth, lung cancer levels decrease nationwide, with fewer cigarettes being consumed. The most frequent source of lung cancer is cigarette-smoking. Lung cancer may also be induced by the usage of certain kinds of cigarettes. In this paper we propose a classification of predictive analysis through Deep Belief Network and K-Nearest neighbor (KNN) classifier.

MALARIA PARASITE CLASSIFICATION USING ENERGY BASED KNN CLASSIFIER

R. Charanya; J. Josphin Mary; G. Sridevi; V. Shanthi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 1422-1425
DOI: 10.31838/ejmcm.07.09.149

Plasmodium is a type of unicellular eukaryote compulsory for vertebrates or insect parasites. The early diagnosis is required for malaria. In this study, the automatic classification of malaria system is discussed. Initially, the input images are given to gaussian filter, then energy feature is used for feature extraction and K-Nearest Neighbor (KNN) classifier is used for classification. The performance of malaria system produces the specificity of classification 93%using KNN classifier.