EARLY DETECTION OF BREAST CANCER USING THE K-NEAREST NEIGHBOUR (K-NN) ALGORITHM

نویسندگان

چکیده

ABSTRACT- Cancer is one of the Non-Communicable Disease groups whose growth and development are high-speed. One type cancer breast (carcinoma mammae). Breast leading cause death for women. The first cells can grow into tumors as large 1 cm, spanning 8-12 years. prevalence rate in Indonesia 50 per 100,000 female population. method used this study uses K-Nearest Neighbor (K-NN) algorithm by comparing k values, namely 3, 5, 7. dataset was obtained from UCI Machine Learning Repository with Number datasets after preprocessing, 653 data a class consisting benign (benign) malignant (malignant). variables take account clump thickness, cell size uniformity, shape marginal adhesion, single epithelial size, nucleus chromatin, normal nucleus, mitosis. results most influential classification training testing using = 3 an accuracy at proportion 70:30 83.8074% 75%; ratio 80:20 84.6743% 74.8092%; percentage 90:10 84.0136% 84.6154%. Using value resulting gap between similar.

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ژورنال

عنوان ژورنال: Jusikom : Jurnal Sistem Informasi Ilmu Komputer

سال: 2023

ISSN: ['2580-2879']

DOI: https://doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v6i2.3194