Breast cancer detection based on the deep learning approach has gained much interest
among other conventional-based CAD systems as the conventional based CAD system's …

Breast cancer (BC) is closely linked with the maximum mortality rate for cancer detection
across the globe and has become a predominant public health issue. Earlier detection might …

Different intelligence models are used by researchers for an easy and successful diagnosis
of neurodegenerative diseases like Parkinson's disease (PD) but none of the adopted …

Heart disease prediction is a critical task regarding human health. It is based on deriving an
Machine Learning model from medical parameters to predict risk levels. In this work, we …

Skin cancer is the most common cancer in the USA, and it is a leading cause of death
worldwide. Every year, more than five million patients are newly diagnosed in the USA. The …

Breast cancer is another second petrifying common health problem transversely identified in
the world. Early uncovering of breast cancer is desperately helpful to save lives. This can be …

Identifying sepsis early can help prevent further complications by identifying possible risks.
The detection of sepsis early on, With support vector machines (SVM) and Long Short-Term …

Background: Feature selection (FS) is a crucial strategy for dimensionality reduction in data
preprocessing since microarray data sets typically contain redundant and extraneous …

Early identification of sepsis may help in identifying possible risks and take the necessary
actions to prevent more severe situations. We employed a recurrent neural network with …

The major disease in society is Breast Cancer in women worldwide and 27% of women are
affected in cancer. Machine learning classifier is suitable for the physicians to make perfect …