Aims Major depression disorder (MDD) is the single greatest cause of disability and
morbidity, and affects about 10% of the population worldwide. Currently, there are no …

Fully automated classification algorithms have been successfully applied to diagnose a wide
range of neurological and psychiatric diseases. They are sufficiently robust to handle data …

Heart disease is one of the most critical human diseases in the world and affects human life
very badly. In heart disease, the heart is unable to push the required amount of blood to …

The problem of classification has been widely studied in the data mining, machine learning,
database, and information retrieval communities with applications in a number of diverse …

There has been considerable recent research into the connection between Parkinson's
disease (PD) and speech impairment. Recently, a wide range of speech signal processing …

Feature selection is of considerable importance in data mining and machine learning,
especially for high dimensional data. In this paper, we propose a novel nearest neighbor …

Witten and Frank's textbook was one of two books that 1 used for a data mining class in the
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …

Decision trees have become one of the most powerful and popular approaches in
knowledge discovery and data mining; it is the science of exploring large and complex …

Feature selection is viewed as an important preprocessing step for pattern recognition,
machine learning, and data mining. Neighborhood is one of the most important concepts in …

Activity recognition is required in various applications such as medical monitoring and
rehabilitation. Previously developed activity recognition systems utilizing triaxial …