The early diagnosis of cancer, as one of the major causes of death, is vital for cancerous
patients. Diagnosing diseases in general and cancer in particular is a considerable …

Developing techniques for the machine learning of a classifier from class-imbalanced data
presents an important challenge. Among the existing methods for addressing this problem …

Imbalanced classification on bankruptcy prediction is considered as one of the most
important topics in financial institutions. In this context, various statistical and artificial …

Learning a classifier from class-imbalance data is an important challenge. Among existing
solutions, SMOTE is one of the most successful methods and has an extensive range of …

Cancer is a kind of non-communicable disease, progresses with uncontrolled cell growth in
the body. The cancerous cell forms a tumor that impairs the immune system, causes other …

In risk assessment of cardiovascular disease (CVD), the classification error caused by
unbalanced data is a significant challenge, which has sparked widespread concern and …

Abstract Background and Objective Non-invasively predicting the risk of cancer metastasis
before surgery can play an essential role in determining which patients can benefit from …

Developmental Dyslexia is a learning disorder often discovered in school-aged children
who face difficulties while reading or spelling words even though they may have average or …

Background Machine learning offers new solutions for predicting life-threatening,
unpredictable amiodarone-induced thyroid dysfunction. Traditional regression approaches …

The rapid development of financial technology not only provides a lot of convenience to
people's production and life, but also brings a lot of risks to financial security. To prevent …