About 90% of U.S. adults meet the criteria for a newly recognized syndrome that comes from a combination of heart disease, kidney disease, type 2 diabetes and obesity. This cluster of chronic health ...
This approach correlates sensor data trends with disease predictions, utilizing existing hospital patient ... The wearable continuously monitors key vitals such as body temperature, heart rate, ...
Objective The aim of the MEDication reminder APPs to improve medication adherence in Coronary Heart Disease Study was to evaluate the effectiveness and feasibility of using publicly available ...
This study aims to determine the impact of medication reminder apps on adherence to cardiovascular medication when compared with usual care for people with coronary heart disease (CHD ... a central ...
the outcome of the prediction model was CVD or a cardiovascular component (ie, coronary heart disease (CHD), heart failure or stroke) and (3) it presented a specific prediction rule/model with ...
In the long term, regular binge drinking can also increase your risk of becoming dependent on alcohol, alcohol-related cancer and heart disease. Sign up to our fortnightly Heart Matters newsletter to ...
and insights that contribute to heart disease prediction and prevention. This repository contains an analysis of heart disease data using R programming. The project explores statistical relationships ...
In 2022, there were nearly 1million deaths from coronoary artery disease, heart attack, and stroke - collectively referred to as cardiovascular disease - the equivalent of a death every 30 seconds.
GREENVILLE, N.C. (WITN) - Heart disease is the leading cause of death for women, men, and most people of racial and ethnic groups according to the Center for Disease Control and Prevention.
Heart disease remains the leading cause of death in the United States, fueled by ongoing increases in hypertension, obesity, and other major risk factors, according to the American Heart ...
Women are less likely to be diagnosed with heart disease than men, and less likely to get best treatment. Researchers are struggling with old stereotypes to right the balance. When asked to name ...