Heart attack and stroke should be predicted like hurricanes Harvey and Irma resulting in short term alerts and immediate preventive actions

Machine L:earning for Prediction of Near Future Heart Attacks

Our 10-year and lifetime CVD risk calculators are not good enough and do not results in immediate preventive actions. We need a short-term predictor, preferably a 12-month forecast, and we can create it with existing cohorts, machine learning, and a pioneering IT company like Google, Apple, IBM,…

For decades doctors, nurses, and other healthcare providers have been trained to assess an individual’s risk of a heart attack by measuring their risk factors and calculating their cardiovascular disease (CVD) risk in the next 10 years.

Imagine if hurricanes Harvey and Irma were predicted the same way CVD is predicted today: an estimated 10-year risk prediction!

Imagine if the weatherman says there is a 7.5% chance of a category 5 hurricane in the next 10 years.

Do you think people would take immediate preventive actions like boarding up their windows, buying hurricane supplies, or even changing their daily routines???

Most likely not, because long term predictions do not trigger immediate preventive actions. This is why Cardiology needs a short-term predictor (preferably 6-12 month forecast), and we (SHAPE and collaborators) are going to create it.

Visit http://shapesociety.org/the-first-machine-learning-heart-attack-forecast-symposium to find out how we are using machine learning and existing cohorts to tackle this problem.

Join thousands of doctors, nurses, and other cardiovascular professionals at the upcoming 2017 scientific sessions of the American Heart Association and learn about SHAPE’s initiative to develop a short-term CVD risk predictor.

Make sure to attend the SHAPE Symposium (Monday, November 13, 2017, 7-9PM), and also participate in the following AHA session where Dr. Morteza Naghavi, the founder of SHAPE and the leader of “Machine Learning Vulnerable Patient”, presents the following breakthrough findings:

AHA 2017, November 13, 3:40 PM, Orange County Convention Center, Anaheim, California.

Monday, November 13, 2017, 3:40 pm    

Machine Learning Outperformed ACC/AHA Pooled Cohort Equations Risk Calculator for Detection of High-Risk Asymptomatic Individuals and Recommending Treatment for Prevention of Cardiovascular Events in the…

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