The paper demonstrates the analysis of Corona Virus Disease based on a probabilistic
model. It involves a technique for classification and prediction by recognizing typical and …

Nowadays, breast cancer is the most frequent cancer among women. Early detection is a
critical issue that can be effectively achieved by machine learning (ML) techniques. Thus in …

One of the most prevalent forms of cancer among women worldwide is breast cancer, the
leading cause of mortality. The vital procedure of early breast cancer detection can help with …

Breast cancer is the second most common cancer in the world. Early diagnosis and
treatment increase the patient's chances of healing. The temperature of cancerous tissues is …

The process of choosing a subset of significant features to be used in developing predictive
models is known as feature selection. Recently, a feature selection method has been …

Breast cancer remains a major public health challenge worldwide. The identification of
accurate biomarkers is critical for the early detection and effective treatment of breast cancer …

Alzheimer's disease (AD) is a significant regular type of dementia that causes damage in
brain cells. Early detection of AD acting as an essential role in global health care due to …

Advancement in computer-aided tools towards accurate breast cancer early prediction
models has proven to be advantageous, which in turn helps to reduce the mortality rate …

The adoption of deep learning (DL) and machine learning (ML) has surged in recent years
because of their imperative practicalities in different disciplines. Among these feasible …

In this paper there is comparison of four different machine learning algorithms such as
Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Fuzzy logic and …