Organized by Dr. Aviv Gibali & Dr. Hussein Naseraldin
Modeling a Chronic Disease – a Multi-Disciplinary Challenge
Big data in medicine is not only an expression representing the medical information collected in relation to the population, but it is also pertaining to for a single patient, especially a chronically/multi-morbid patient (who suffers from several chronic diseases simultaneously).
Chronic disease entails a medical information system to collect a lot of “raw” information, including the patient’s history in the context of the disease, from numerous interfaces and in many dimensions: visits by family physicians, physical measures (e.g., blood pressure, heart rate, BMI), laboratory tests, diagnostic tests, and more. Moreover, measuring proximity amid individuals is even more challenging as the dynamics of one chronic disease may be related to another.
10:30: Challenge presentation
13:00-14:15: Lunch break