Survivability Period Prediction in Colon Cancer Patients using Machine Learning

Basit Öğe Kaydı
dc.contributor.authorTahir, Anoosha
dc.contributor.authorWajid, Bilal
dc.contributor.authorAnwar, Faria
dc.contributor.authorAwan, Fahim Gohar
dc.contributor.authorRashid, Umar
dc.contributor.authorAfzal, Fareeha
dc.contributor.authorAnwar, Abdul Rauf
dc.contributor.authorWajid, Imran
dc.date.accessioned2023-11-13T08:17:25Z
dc.date.available2023-11-13T08:17:25Z
dc.date.issued2023en_US
dc.departmentÄ°stanbul Ticaret Ãœniversitesien_US
dc.description.abstractKnowledge 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.en_US
dc.identifier.doi10.1109/ICEPECC57281.2023.10209530en_US
dc.identifier.scopus2-s2.0-85169601968en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/7003
dc.identifier.urihttps://doi.org/10.1109/ICEPECC57281.2023.10209530
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2023 International Conference on Energy, Power, Environment, Control, and Computing, ICEPECC 2023 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectcolon cancer, machine learning, survival rate, SEERen_US
dc.titleSurvivability Period Prediction in Colon Cancer Patients using Machine Learningen_US
dc.typeConference Objecten_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
Ä°sim:
Survivability_Period_Prediction_in_Colon_Cancer_Patients_using_Machine_Learning.pdf
Boyut:
362.71 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Ä°ndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
Ä°sim:
license.txt
Boyut:
1.56 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
Ä°ndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu