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Developing Machine Learning Methods for Health Care Delivery
The uncertainties in health care, coupled with the stakes, make it really confusing for practitioners to try to figure out that's exactly right. For all the talk about big data and health care, there may be only a few thousand people who fit your inclusion criteriaso all of a sudden the data we're working with is like pretty dicy, pretty sparse, and pretty hard to do classic machine learning on. The problem is that when you develop a healthier algarithm like this, there are questions about fairness and bias that might arise.