Machine learning for healthcare promises to improve our diagnostic ability, to plot optimal treatment plans, and to smooth clinical operations and lower costs. But, central to these promises is a strong, generalizable numerical representation of a patient’s prior medical history that is reflective of clinical similarity and amenable to modeling. Learning such a representation is […]
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