Automated Cardiovascular Disease Prediction Models: A Comparative Analysis

Clinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model Database.

BACKGROUND Clinical prediction models (CPMs) estimate the probability of clinical outcomes and hold the potential to improve decision making and individualize care. For patients with cardiovascular disease, there are numerous CPMs available although the extent of this literature is not well described. METHODS AND RESULTS We conducted a systematic review for articles containing CPMs for cardio...

Cardiovascular disease research in Latin America: a comparative bibliometric analysis.

AIM To investigate the number of publications in cardiovascular disease (CVD) in Latin America and the Caribbean over the last decade. METHODS We performed a bibliometric analysis in PubMed from 2001 to 2010 for Latin America and the Caribbean, the United States, Canada, Europe, China, and India. RESULTS Latin America published 4% of articles compared with 26% from the United States/Canada ...

Utility of different cardiovascular disease prediction models in rheumatoid arthritis

BACKGROUND Rheumatoid arthritis comes with a 30% higher probability for cardiovascular disease than the general population. Current guidelines advocate for early and aggressive primary prevention and treatment of risk factors in high-risk populations but this excess risk is under-addressed in RA in real life. This is mainly due to difficulties met in the correct risk evaluation. This study aims...

applying transitivity theory to gender analysis of efl textbook: : a comparative study.

efl/esl textbooks have been regarded as essential language teaching materials with which the learners spend about 70 up to 90 percent of their class time. the important role they play and their vast use make them not only influential in learning the language but also in shaping values and attitudes. put it another way, textbooks socialize learners using their contents (i.e. texts, illustrations...

Prediction of cardiovascular disease worldwide.