Latest AI and machine learning research in health policy for healthcare professionals.
In protein tertiary structure prediction, model quality assessment programs (MQAPs) are often used t...
Hospital readmission is among the most critical issues in the healthcare system due to its high prev...
In many deep neural networks for pattern recognition, the input pattern is classified in the deepest...
OBJECTIVE: Diabetes is responsible for considerable morbidity, healthcare utilisation and mortality ...
For the evaluation of pathological gait, a machine learning-based estimation of the vertical ground ...
Racial disparities in the utilization of epilepsy surgery are well documented, but it is unknown whe...
Colorectal cancer (CRC) is third in prevalence and mortality among all cancers in the US. Currently,...
Recent advances in Machine Learning (ML) have the potential to revolutionise psychosis prediction an...
Sustainable urban development (SUD) requires a balance between economic growth, social well-being, a...
The microscopic assessment of tissue samples is instrumental for the diagnosis and staging of cancer...
As the airline industry has become ever-more competitive and profitability more tenuous, airline ser...
In this paper, an improved fuzzy matter-element (IFME) method was proposed, which integrates the cla...
PURPOSE: To assess the accuracy of machine learning to predict and classify quality assurance (QA) r...
This study aims to present the stages related to the use of machine learning algorithms for predicti...
Recent studies have demonstrated that mobile sampling can improve the spatial granularity of land us...
Indoor air quality (IAQ), as determined by the concentrations of indoor air pollutants, can be predi...
BACKGROUND: Approximately 20% of deaths in the US each year are attributable to smoking, yet current...
Generative Adversarial Network (GAN) has become an active research field due to its capability to ge...
Unscheduled 30-day readmissions are a hallmark of Congestive Heart Failure (CHF) patients that pose ...
BACKGROUND: Technology-assisted clinical interventions are increasingly common in the health care fi...
Manual annotation is considered to be the "gold standard" in medical imaging analysis. However, medi...