2019
DOI: 10.1088/1742-6596/1417/1/012015
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Multiclass Classification of Brain Cancer with Multiple Multiclass Artificial Bee Colony Feature Selection and Support Vector Machine

Abstract: A World Health Organization reported that the mortality rate due to brain cancer is the highest in the Asian continent. It is critical importance that brain cancer can be detected earlier so that the treatment process can be carried out more precisely and will be able to extend the life expectancy of brain cancer patients. Taking advantage of microarray data, machine learning methods can be applied to help brain cancer prediction according to its type. This problem can be referred to as a multiclass classifica… Show more

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Cited by 6 publications
(4 citation statements)
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“…Pendidikan merupakan aspek krusial dalam pembentukan individu dan masyarakat. Di era dimana teknologi semakin meresap ke dalam berbagai bidang kehidupan (Kharis et al, 2019(Kharis et al, , 2024Kharis, Robiansyah, Maulana, et al, 2023;Kharis, Tarigan, et al, 2023;Kharis, Zili, Putri, et al, 2023;Rustam & Kharis, 2018, 2020Zili et al, 2022), pendidikan tidak luput dari dampaknya. Salah satu perkembangan teknologi yang semakin menonjol dalam konteks pendidikan adalah kecerdasan buatan (artificial intelligence, AI) Kharis, Zili, Zubir, et al, 2023).…”
Section: Pendahuluanunclassified
“…Pendidikan merupakan aspek krusial dalam pembentukan individu dan masyarakat. Di era dimana teknologi semakin meresap ke dalam berbagai bidang kehidupan (Kharis et al, 2019(Kharis et al, , 2024Kharis, Robiansyah, Maulana, et al, 2023;Kharis, Tarigan, et al, 2023;Kharis, Zili, Putri, et al, 2023;Rustam & Kharis, 2018, 2020Zili et al, 2022), pendidikan tidak luput dari dampaknya. Salah satu perkembangan teknologi yang semakin menonjol dalam konteks pendidikan adalah kecerdasan buatan (artificial intelligence, AI) Kharis, Zili, Zubir, et al, 2023).…”
Section: Pendahuluanunclassified
“…In the case of multiclass classification, the metrics specified for binary classification, do not fully apply [30]. Table 1 shown the confusion matrix for multi-class problems with k class numbers [31].…”
Section: Accuracy Measurement With Confusion Matrixmentioning
confidence: 99%
“…A multiclass classification issue may be used to describe this situation. [ 15 ]. As a feature selection approach, Multiple Multiclass Artificial Bee Colony (MMABC) was used, and as a classification method, Support Vector Machine (SVM) was used.…”
Section: Literature Reviewmentioning
confidence: 99%