{ "media_type": "text", "post_content": "Have you worked on any large scale implementation of machine learning models within a health care setting? How much scrutiny goes into model building and data selection?", "post_id": "5de6e7a601cea5002826ccec", "reply_count": 2, "vote_count": 3, "bowl_id": "5aaaf7afc22dc30013dfee81", "bowl_name": "Healthcare Consultants" }

Have you worked on any large scale implementation of machine learning models within a health care setting? How much scrutiny goes into model building and data selection?

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I would imagine even more scrutiny than many other industries. With ML in a clinical/medical setting, a lot more could be at stake. With things like EHR and predictive analytics, there are concerns over things like PII as bad actors can reverse engineer models to steal that information. I think the spectrum is broad, but like most things, the answer is that it depends.

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Yes. A LOT

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