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Abstract
DETECTION OF A CARDIOVASCULAR DISEASE RISK THROUGH ARTIFICIAL INTELLIGENCE
J. L. Sanchez-Cuevas*, B. L. Ulloa-Coronado, R. Alvarado-Bustos, E. Mendez-Aldape and A. A. Dominguez-Martinez
ABSTRACT
Cardiovascular diseases (CVDs), principally ischemic heart disease(IHD) and stroke, are the leading cause of global mortality and a majorcontributor to disability. Cardiovascular diseases remain the leadingcause of disease burden in the world. CVD burden continues itsdecades-long rise for almost all countries outside high-incomecountries, and alarmingly, the age-standardized rate of CVD has begunto rise in some locations where it was previously declining in highincomecountries. There is an urgent need to focus on implementingexisting cost-effective policies and interventions if the world is to meetthe targets for Sustainable Development Goal 3 and achieve a 30%reduction in premature mortality due to noncommunicable diseases.[1]The creation of a web-based tool for cardiovascular risk assessment issuggested as a solution to this gap. People will have an easy-to-use platform to enter healthdata, such as age, blood pressure, cholesterol, and lifestyle factors, with this revolutionarytechnology. With the use of Artificial Intelligence, the application would compute anddisplay the user's risk of CVD as a graphical representation in real time. This instantaneous feedbackmethod represents a major breakthrough in the field of digital health innovation, as it isintended to raise awareness and encourage proactive health management.
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