Uncertainty estimation in healthcare involves quantifying and understanding the inherent
uncertainty or variability associated with medical predictions, diagnoses, and treatment …

Understanding the data and reaching accurate conclusions are of paramount importance in
the present era of big data. Machine learning and probability theory methods have been …

The study of big data analytics (BDA) methods for the data-driven industries is gaining
research attention and implementation in today's industrial activities, business intelligence …

Cuckoo search algorithm (CS) is a simple and effective nature-inspired optimization
algorithm, which has been widely applied to solve the complex engineering optimization …

Glaucoma is the second most common cause of vision loss. Manual screening of a patient's
eye or screening through a fundus image of the patient's eye requires expert …

Glaucoma, commonly known as the silent thief of sight, is the second most common cause of
blindness in humans, and the number of cases is steadily increasing. Conventional …

The change in living standard made people to think on their physical health. Accordingly,
healthcare organizations are concentrating more on physical health of people in terms of …

In the medical field, image segmentation provides important information for surgical
planning and registration, and thus demands accurate segmentation. In order to improve the …

One of the most difficulties that doctors face when diagnosing a disease is making an
accurate decision to correctly determine the nature of the injury. This is attributable to the …

Accurate classification of Alzheimer's Disease (AD) and its prodromal stage, ie, mild
cognitive impairment (MCI) are critical for the effective treatment of AD. However, compared …