A HYBRID MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING MODEL FOR EARLY DETECTION OF ACUTE CORONARY SYNDROME

A hybrid machine learning and natural language processing model for early detection of acute coronary syndrome

Acute coronary syndrome (ACS) is a leading cause of mortality and morbidity.Predicting the associated risks of patients with chest pain using electronic health record data can help identify those needing more tailored care.This study proposes the development of a reliable prediction framework to serve as a diagnostic support tool for preventing mis

read more

Improving Pediatric Resident Communication During Family-Centered Rounds Using a Novel Simulation-Based Curriculum

Introduction While family-centered rounds (FCR) have become increasingly important in pediatrics, there is often no training for residents on appropriate FCR practice.This curriculum was developed to address this identified gap in pediatric trainee education through a combination of didactic presentation, direct observation, and simulated FCR.Metho

read more

Investigating the Potential and Challenges of Learning Analytics Tools in Brazilian Education Through Developer Insights

childrens backpacks Learning analytics (LA) tools hold promise for transforming educational practices, providing insights into student performance, and aiding instructional planning.Despite the growing body of literature, the integration of these tools into daily educational processes remains a complex challenge.Latin America has experienced a sign

read more

Perioperative Beta Blockade - A Case Report

Continuation of antihypertensives preoperatively and their influence on intraoperative hemodynamics is a big concern among anesthesiologists.The Peri Operative Ischaemia Study Evaluation (POISE) trial Supplies showed a significant reduction of myocardial infarction, need for coronary revascularization and the incidence of atrial fibrillation with m

read more