MACHINE LEARNING & AI: A HIMSS EVENT
LAS VEGAS, NV - MARCH 5, 2018
Machine Learning for healthcare differs significantly from other application domains in terms of the use cases, data resources, operational constraints and evaluation metrics. Despite these differences, the majority of existing machine learning solutions for healthcare applications remain grounded in conventional methodologies that are re-purposed from unrelated application domains.
This session addresses the specific characteristics unique to healthcare that distinguish it from other application domains and creates the need for specialized solutions. It will also discuss the requirements created by these characteristics and how healthcare-focused machine learning technologies should meet these requirements to maximize practical impact.
Key discussion points: