Survival Rate Prediction of Blood Cancer (Leukemia) Patients Using Machine Learning Algorithms
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Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/embargoedAccess
Özet
Survival rate prediction for medical diseases is a
complex task that requires high precision. With a low survival
rate among reported patients, leukemia is a type of cancer of
blood which is caused by the abnormal growth of white blood
cells. It is critical to numerically evaluate the rate of
survivability of patients suffering from leukemia. To this end,
this paper employs a comprehensive database, namely
Surveillance, Epidemiology, and End Results (SEER)
maintained by The National Cancer Institute in MD, USA, to
construct a survivability model for leukemia patients. To
accurately predict the survival months of the patients, we
develop a multi-class classification problem by binning the
target variable into four bins. The resulting accuracy is
improved by utilizing a multi-tier classification framework.
Although, the final numerical results hold significance from
biological viewpoint, it is recommended that a clinically relevant
model be drawn with caution.
Açıklama
Anahtar Kelimeler
Blood cancer, leukemia, lymphoma, machine learning, survival months, SEER
Kaynak
2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering, ETECTE 2022 - Proceedings
WoS Q DeÄŸeri
Scopus Q DeÄŸeri
N/A
