AI-Driven Predictive Analytics for Heart Disease with SCIX скачать в хорошем качестве

AI-Driven Predictive Analytics for Heart Disease with SCIX

Joyonna Gamble-George, Co - Founder, SCIX Heart disease and stroke remain the first and third leading killers of Americans, accounting for more than 30% of all mortality, and are among the leading causes of disability. Stroke and heart disease cannot only lead to death and long-term disability, but as well lead to hospitalization and reduced quality of life. People with chronic conditions, such as heart disease and stroke, and especially those with multiple chronic conditions, receive care from numerous providers in various settings and regularly juggle multiple prescription drugs, making care coordination key. Evidence suggests that use of health information technology can help manage chronic diseases, such as heart disease and stroke, more effectively by facilitating communication and coordination of care between providers and patients across settings and improving patient safety by reducing duplicative tests, procedures, and costly medical errors. One of the contributing factors to cardiovascular mortality in the U.S. is the inability to monitor heart rhythms of patients with heart disease until they arrive in the emergency room. Thus, heart disease management is effective and efficient when it involves big data analytics - the examination of large amounts of data to uncover hidden patterns and unknown correlations - that can be used to monitor, predict, prevent, manage, and treat chronic diseases, such as heart disease and stroke. Here, we propose creating a new health information technology, a wearable device software application, called SciRyng, that can monitor and respond to the care of people with chronic diseases, such as heart disease and stroke, quicker and more efficiently than current methods in the healthcare market using artificial intelligence-driven predictive analytics. Ai4 is industry’s leading artificial intelligence conference. Join our next event: https://ai4.io