Human Data Science and Personalized Medicine
When data can be used to predict COPD rehospitalization risk or diagnoses AFib in individual patients
Case Study

Human Data Science is an integral contributor to personalized medicine, supporting customized treatment approaches that offer care and regimens tailored to individual patients and ultimately mitigate risk.

Using advanced, predictive analytics and human expertise, it is possible to predict an individual COPD patient's potential for hospitalization or diagnose atrial fibrillation (AFib) in an individual undiagnosed patient. This type of personalized care enables patients and clinicians to make better, more informed healthcare decisions.

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