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How Machine Learning Is Helping Us Predict Heart Disease and Diabetes

While debate drags on about legislation, regulations, and other measures to improve the U.S. health care system, a new wave of analytics and technology could help dramatically cut costly and unnecessary hospitalizations while improving outcomes for patients.

For example, by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United States could save billions of dollars a year. Toward this end, my colleagues and I at Boston University’s Center for Information and Systems Engineering have been striving to bring the power of machine-learning algorithms to this critical problem.

Source: hbr.org
Author: Yannis Paschalidis

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