Cancer is an aggressive disease with a low median survival rate. Ironically, the treatment
process is long and very costly due to its high recurrence and mortality rates. Accurate early …

Background Accurately predicting the survival rate of breast cancer patients is a major issue
for cancer researchers. Machine learning (ML) has attracted much attention with the hope …

Abstract Integrating Artificial Intelligence (AI) into healthcare has shown tremendous promise
in several domains, such as prediction, decision-making, and diagnosis. Nevertheless, the …

This study proposed a new processing method to predict breast cancer on the basis of nine
individual attributes, including age, body mass index, glucose, insulin, and a homeostasis …

This article delves into the potential of artificial intelligence (AI) to enhance early breast
cancer (BC) detection for improved treatment outcomes and patient care. Utilizing a …

Breast cancer is the second largest cause of mortality among women. Breast cancer patients
in developed nations have a relative survival rate of more than 5-years due to early …

Cancer is one of the most devastating, fatal, dangerous, and unpredictable ailments. To
reduce the risk of fatality in this disease, we need some ways to predict the disease …

Background Over the recent years, machine learning methods have been increasingly
explored in cancer prognosis because of the appearance of improved machine learning …

Evolutionary neural networks (ENNs) are an adaptive approach that combines the adaptive
mechanism of Evolutionary algorithms (EAs) with the learning mechanism of Artificial Neural …

Cervical cancer is the fourth most prevalent cancer in women which has claimed 3, 41,831
lives and accounted for 6, 04,127 new cases in 2020 worldwide. To reduce such a vast …