Abstract Recently, Artificial Intelligence (AI) has been used widely in medicine and health
care sector. In machine learning, the classification or prediction is a major field of AI. Today …

Healthcare prediction has been a significant factor in saving lives in recent years. In the
domain of health care, there is a rapid development of intelligent systems for analyzing …

Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized many industries,
and healthcare is no exception. Predictive analytics, a branch of data analytics that uses ML …

Over recent years, multiple disease risk prediction models have been developed. These
models use various patient characteristics to estimate the probability of outcomes over a …

Background Hospital crowding is a rising problem, effective predicting and detecting
managment can helpful to reduce crowding. Our team has successfully proposed a hybrid …

Machine learning (ML) is a powerful tool that delivers insights hidden in Internet of Things
(IoT) data. These hybrid technologies work smartly to improve the decision-making process …

Nowadays, new highly-developed technologies are changing traditional processes related
to medical and healthcare systems. Emerging Mobile Health (M-Health) systems are …

Predictive analytics has gained a lot of reputation in the emerging technology Big data.
Predictive analytics is an advanced form of analytics. Predictive analytics goes beyond data …

Both statistical and neural methods have been proposed in the literature to predict
healthcare expenditures. However, less attention has been given to comparing predictions …