Lung cancer classification using data mining and supervised learning algorithms on multi-dimensional data set
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Tarih
2019
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
International University of Sarajevo
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
These With recent developments in machine learning, data mining and computer vision, there is great potential for improvements in early detection of lung cancer using scans and data available. This paper details the methods and techniques used in our project, where the objective is to develop algorithms to determine whether a patient has or is likely to develop lung cancer using dataset images using data mining and machine learning for the classification and examination. We explore approaches to address the problem. Cancer is the most important cause of death globally. The disease diagnosis is a major process to treat the patients who are affected by cancer disease. The diagnosis process is more difficult comparatively known about the cancer disease detection. Developing a proposed data mining model is useful to diagnose the cancer disease once the cancer detection is accomplished using data mining for the examination and classification of machine learning supervised algorithms. © 2019 International University of Sarajevo.
Açıklama
Anahtar Kelimeler
Classification, Data Mining, Lung Cancer Detection, Machine Learning
Kaynak
Periodicals of Engineering and Natural Sciences
WoS Q Değeri
Scopus Q Değeri
Q2
Cilt
7
Sayı
2
