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Fact Based List:
Kristine Daynes: Five caveats for choosing predictive analytics
Submitted By Charlene Ice, Created 10/24/2017 - 15:48
- Predictive models are meant to be a supplement to human expertise, not replace it.
- Choose models developed by teams with deep understanding of medical practice and the business of healthcare—domain knowledge
- Look for algorithms that have been developed using large, clean data sets.
- Choose tools that are appropriate for the intended use.
- Assess your information infrastructure to make sure data can be easily extracted.
Source: Inside Angle blog/3M, October 23, 2017
Source URL: https://www.3mhisinsideangle.com/blog-post/five-caveats-choo...