The manual chart review revealed that half the nonadherent patients had medication changes or discontinuations that could ...

Abstract: The large price changes in Bitcoin have led to increased interest in predicting its future prices. This study uses a Deep learning approach to forecast Bitcoin values based on past data and ...

1 Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, University of New South Wales, Sydney, Australia 2 Radiofrequency Identification Applications Laboratory, ...

Introduction Running-related injuries (RRIs) are frequent and can lead to cessation of health promoting activities. Several risk factors for RRIs have been identified. However, no successful injury ...

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

Objective This study aims to explore disparities in eHealth literacy and perspectives on digital health among parents of ...

Objectives To assess the outcomes of patients undergoing open abdominal surgery at a National Referral Hospital in Tanzania. Design A prospective, observational, single-arm cohort study. Setting Dar ...

Background Socioeconomic deprivation has been associated with adverse outcomes after aortic surgery, although evidence ...

Background Despite progress in reducing global maternal mortality in recent decades, low- and lower-middle-income countries ...

Predicting worsening asthma symptoms from NHS primary-care data using SQL + MATLAB, following CRISP-DM. Compares Decision Tree, Logistic Regression, Bagged Ensemble, and RUSBoost on an imbalanced ...