Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

In this video, we will see what is Cost Function, what are the different types of Cost Function in Neural Network, and which ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to epidemiological and behavioural factors; however, the biological effects of forced ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...

In machine learning, multi-task learning (MTL) has emerged as a powerful paradigm that enables concurrent training of multiple interrelated algorithms. By exploiting the inherent connections between ...

Autistic regression refers to a loss of previously acquired skills or a backtracking of developmental milestones. In young children, it may represent autism onset. In older children and adults, it may ...

Age regression is an unconscious return to an earlier stage of behavioral, emotional, or social development. It can be a sign of distress, trauma, or a mental health condition. Temporary age ...