Explosive increase of dataset features may intensify the complexity of medical data analysis
in deciding necessary treatment for the patient. In most cases, the accuracy of diagnosis …

DNA microarray data analysis is notorious because it contains a large number of
characteristics, asymmetrical class distribution, and it is restricted with less number of …

Feature Selection (FS) is essential in the Internet of Things (IoT)-based Clinical Decision
Support Systems (CDSS) to improve the accuracy and efficiency of the system. With the …

Cardiotocography (CTG) is the commonly used tool to monitor fetal distress (hypoxia), other
fetal risks such as fetal heart rate, and autonomous nervous system maturation. If not …

Cancer is one of the leading causes of death across the globe. There is a need for early
diagnosis to improve the chance of successful treatment and reduce the mortality associated …

Due to rapid technology advancement, machine learning has been widely used for solving
cancer classification problem. Classification performance is highly depending on the quality …

Discovering a hearing disorder at an earlier intervention is critical for reducing the effects of
hearing loss and the approaches to increase the remaining hearing ability can be …

Explosive increases of features in high dimensional datasets remains a challenge for data
analysis in various research fields, especially the medical diagnosis sector, as it may affects …

Explosive increase of dataset features may intensify the complexity of medical data analysis
in deciding necessary treatment for the patient. In most cases, the accuracy of diagnosis …