Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …

Abstract Knowledge discovery in databases (KDD) is crucial in analyzing data to extract
valuable insights. In medical outcome prediction, KDD is increasingly applied, particularly in …

Cervical cancer affects nearly 4% of the women across the globe and leads to mortality if not
treated in early stage. A few decades before, the mortality rate was too high when compared …

Simple Summary This paper presents a cervical cancer detection approach where the KNN
Imputer techniques is used to fill the missing values and after that SMOTE upsampled …

Breast cancer is a prevalent disease that affects mostly women, and early diagnosis will
expedite the treatment of this ailment. Recently, machine learning (ML) techniques have …

Cervical cancer is a significant public health concern among females worldwide. Despite
being preventable, it remains a leading cause of mortality. Early detection is crucial for …

Cervical cancer (CC) is one of the most prevalent malignancies affecting women globally,
with a particularly notable impact and high mortality in regions with limited economic …

Cervical cancer remains a leading cause of female mortality, particularly in develo**
regions, underscoring the critical need for early detection and intervention guided by skilled …

Early diagnosis of abnormal cervical cells enhances the chance of prompt treatment for
cervical cancer (CrC). Artificial intelligence (AI)‐assisted decision support systems for …

The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide.
This gynecological carcinoma causes many deaths, even though it can be treated by …