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Nitesh Chawla


PUBLISHED: December 19, 2011

Nitesh ChawlaAssistant Professor
Department of Computer Science and Engineering

Diseases do not occur in isolation; there are often common genetic, molecular, environmental, and lifestyle based risk factors that can be tracked. Nitesh Chawla’s research seeks to integrate and exploit these types of interconnections and the experience of millions of doctors and patients for the greater good by creating a Brain-Google called CARE (Collaborative Assessment and Recommendation Engine) that relies on a patient’s medical history and the history of individuals with similar symptoms, body types, and lifestyles, etc., in order to predict diseases risks.

Nitesh Chawla ResearchCARE uses collaborative filtering to suggest a more personalized approach to health care assessment. Imagine going into your doctor’s office and in addition to pulling up your personal information, your doctor can access similar symptoms and body types of millions of people just like you. CARE then works as an additional tool for your doctor. So he or she can essentially pool his or her expertise with the expertise of millions of other physicians and experiences of millions of other patients in a matter of seconds for diagnoses and preventative treatments to keep you healthier. You and your physician can then create a more personalized health care plan using literally generations of pertinent data. You can make lifestyle adjustments and/or schedule treatments to minimize risk or elevate healthy outcomes … saving millions of lives and millions of dollars.