Cancer prediction in the early stage is a topic of major interest in medicine since it allows
accurate and efficient actions for successful medical treatments of cancer. Mostly cancer …

Ovarian cancer is one of the leading causes of mortality among women. The most common
detection approach is by tracking related biomarkers to see whether patient has ovarian …

This study addresses the critical challenge of accurately classifying brain tumors using
artificial intelligence. Early detection is crucial, as untreated tumors can be fatal. Despite …

The early detection of cancer is of paramount importance in the medical field, as it can lead
to more precise and effective interventions for successful cancer treatments. Cancer …

Feature selection is exposed to the curse of dimensionality risk, and it is even more
exacerbated with high-dimensional data such as microarrays. Moreover, the low …

As an extension of classical fuzzy rule-based classification, the belief rule-based
classification is a promising technique for handling hybrid information with multiple …

Boosted by the exponential growth of microbiome-based studies, analyzing microbiome
patterns is now a hot-topic, finding different fields of application. In particular, the use of …

Oncology is the branch of medicine that deals with diseases caused by the growth of
abnormal cells. It has the potential to assault or spread to many sections of the body. There …

Classification association rule mining is one interesting approach in data mining to create
accurately and easily prediction systems that are more explainable. This approach is often …

Discovering biomarkers from microarray data is an extremely important research subject, as
biomarkers help to diagnose disease types, find therapeutic plans for a disease, and contain …