Accurate prediction of the survival rates of cancer patients is often crucial to stratifying
patients for prognosis and treatment. This study presents a detailed methodology for …

The convoluted and dynamic nature of cancer growth makes it difficult to predict long-term
cancer survival. Evolutionary deep learning techniques have been growing in popularity as …

The modeling of comorbid cancer patients' survivability has theoretical significance and
practical needs. Cancer survivability prediction may provide guidance for clinical decision …

Cancer has been characterized as a heterogeneous disease consisting of many different
subtypes. The early diagnosis and prognosis of a cancer type has become a necessity in …

Ovarian cancer is the third most common gynecologic cancers worldwide. Advanced ovarian
cancer patients bear a significant mortality rate. Survival estimation is essential for clinicians …

Predicting the survival status of patients who will undergo breast cancer surgery is highly
important, where it indicates whether conducting a surgery is the best solution for the …

Simple Summary According to cancer statistics published in 2020, there were 19.3 million
new cancer cases and almost 10.0 million cancer deaths worldwide. This suggests that …

Brain cancer is one of the most deadly cancers, with a very low survival rate. By
understanding the factors that lead to cancer spreading, practitioners can concentrate their …

Breast cancer is a primary cause of cancer-associated mortality among women globally, and
early detection and personalized treatment are critical for improving patient outcomes. In this …

Abstract Background and Objective Colorectal cancer is a major health concern. It is now the
third most common cancer and the fourth leading cause of cancer mortality worldwide. The …