Diagnosing cervical cancer using machine learning methods
[ X ]
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Pre-diagnosis of any kind of cancer type has critical impact on person's life. According to World Health Organization Cervical cancer is still one of the most common gynecologic cancers in the world that affects women life. if medical experts focus on early diagnosis of the disease which is detecting symptomatic patients as early as possible, patients will have the best chance for successful treatment since Cervical Cancer is preventable. When cancer treatment is delayed, mortality rate decreases, and treatment becomes more complicated and expensive. Currently, systems based on Artificial Intelligence are used for decision making Machine learning techniques let automated detection of cervical cancer run more quickly and efficiently. In this study a novel ensemble approach is presented to predict the risk of cervical cancer by developing hybrid machine learning model. Multiple performance measurements such as Accuracy, precision score, recall score, and F1 are performed to evaluate the novel model. The results indicate that the proposed novel model can be effectively used to pre diagnosis of Cervical cancer with accuracy 97%.
Açıklama
Anahtar Kelimeler
Artificial Intelligence, Cervical Cancer, Classification, Decision Systems, Machine Learning
Kaynak
HORA 2022 - 4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Soğukkuyu, D. Y. C., Ata, O. (2022). Diagnosing cervical cancer using machine learning methods. In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), IEEE.
