Do no harm: a roadmap for responsible machine learning for health care
Jenna Wiens1, Suchi Saria2,3,4, Mark Sendak5
1Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA. wiensj@umich.edu.
Abstract:
Interest in machine-learning applications within medicine has been growing, but few studies have progressed to deployment in patient care. We present a framework, context and ultimately guidelines for accelerating the translation of machine-learning-based interventions in health care. To be successful, translation will require a team of engaged stakeholders and a systematic process from beginning (problem formulation) to end (widespread deployment).
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