search

epic-open-source / seismometer

AI model evaluation with a focus on healthcare
https://epic-open-source.github.io/seismometer/
BSD 3-Clause "New" or "Revised" License
179 stars 21 forks source link

Add decision curve analysis #14

Open VickersA opened 4 months ago

VickersA commented 4 months ago

Problem Summary

Decision curve analysis is recommended in pretty much every guideline on the evaluation of AI, including TRIPOD AI and also see https://mskcc-epi-bio.github.io/decisioncurveanalysis/literature.html#DCA__Machine_LearningAI. It is not currently in the package.

Impact

The current package does not include any metrics of clinical utility. Run the package on any data set and you'll get a set of metrics, e.g. discrimination and calibration, but you won't be able to tell whether those are good enough to justify use of the tool (e.g. what if an AI algorithm has better discrimination but worse calibration than a competitor? which do you use?).

Possible Solution

Add in code for DCA (which has already been written).

Steps to Reproduce

NA

Suggested fix

see above.

diehlbw commented 4 months ago

Thanks for the suggestion!

Decision curve analysis is definitely something we would like to add to the model notebooks.