Survivability Period Prediction in Colon Cancer Patients using Machine Learning

Tahir A., Wajid B., Anwar F., Awan F. G., Rashid U., Afzal F., ...Daha Fazla

2023 International Conference on Energy, Power, Environment, Control, and Computing, ICEPECC 2023, Gujrat, Pakistan, 8 - 09 Mart 2023 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/icepecc57281.2023.10209530
  • Basıldığı Şehir: Gujrat
  • Basıldığı Ülke: Pakistan
  • Anahtar Kelimeler: colon cancer, machine learning, SEER, survival rate
  • İstanbul Ticaret Üniversitesi Adresli: Evet

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.