Health care organizations are leveraging machine-learning techniques, such as artificial
neural networks (ANN), to improve delivery of care at a reduced cost. Applications of ANN to …

Despite evidence-based interventions, coronary heart disease (CHD) remains a leading
cause of global mortality. As therapies advance, patient non-adherence to established …

Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from
machine learning, random forest classifiers, predictive modeling, cluster analysis, natural …

Background Cardiovascular medications are vital for the secondary prevention of coronary
arterial disease (CAD). However, the effect of cardiovascular medication may depend on the …

Context Data mining (DM) provides the methodology and technology needed to transform
huge amounts of data into useful information for decision making. It is a powerful process …

Objective This analysis explored the association of treatment adherence with beliefs about
medication, patient demographic and disease characteristics and medication types in …

Background: This is the first scoping review to focus broadly on the topics of machine
learning and medication adherence. Objective: This review aims to categorize, summarize …

Purpose The recommended pharmacotherapy for secondary prevention of acute coronary
syndrome (ACS) is long-term treatment with a combination of four therapeutic classes: beta …

OBJECTIVES: The body mass index (BMI) provides essential medical information related to
body weight for the treatment and prognosis prediction of diseases such as cardiovascular …

Background Patients suffering obstructive sleep apnea are mainly treated with continuous
positive airway pressure (CPAP). Although it is a highly effective treatment, compliance with …