Survivability Period Prediction in Colon Cancer Patients using Machine Learning
Yükleniyor...
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/embargoedAccess
Özet
Knowledge of survivability is crucial for cancer
patients and their families. This paper employs the Surveillance,
Epidemiology, and End Results (SEER) database to predict the
survivability of colon cancer patients. The research presents
four experiments each improving over the previous one,
attempting to develop the optimal model. Here (i) experiment 1
conducts regression analyses; (ii) experiment 2 conducts
multinomial classification; (iii) experiment 3 emphasizes a
multi-tier prediction framework and lastly; (iv) experiment 4
concludes by developing a hybrid model for better prediction of
survivability.
Açıklama
Anahtar Kelimeler
colon cancer, machine learning, survival rate, SEER
Kaynak
2023 International Conference on Energy, Power, Environment, Control, and Computing, ICEPECC 2023 - Proceedings
WoS Q DeÄŸeri
Scopus Q DeÄŸeri
N/A
