Breast cancer is type of tumor that occurs in the tissues of the breast. It is most common type
of cancer found in women around the world and it is among the leading causes of deaths in …

Breast cancer is a widely occurring cancer in women worldwide and is related to high
mortality. The objective of this review was to present several approaches to investigate the …

Breast cancer is a significant public health concern worldwide, and early detection is crucial
for its treatment. Although breast cancer has been extensively studied, there is still room for …

Background: Machine Learning (ML) is becoming increasingly popular in healthcare,
particularly for improving the timing and accuracy of diagnosis. ML can provide disease …

The conventional machine learning (ML) algorithms are continuously advancing and
evolving at a fast-paced by introducing the novel learning algorithms. ML models are …

On average, breast cancer kills one woman per minute. However, there are more reasons
for optimism than ever before. When diagnosed early, patients with breast cancer have a …

This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …

Although the multi-layer perceptron (MLP) neural networks provide a lot of flexibility and
have proven useful and reliable in a wide range of classification and regression problems …

Data analytics and machine learning have grown in importance to efficiently manage large
amounts of healthcare data. Recent statistics indicate that breast cancer is the most …

Dermatological conditions are a global health concern affecting all age groups. They
encompass various skin issues such as rashes, moles, acne, blisters, hives, nodules, cysts …