PP.0009
Is interpretable machine learning for preeclampsia prediction better than the standard approach?
Tomas Bosschieter, Harsha Nori, Ian Painter, Rich Caruana, Vivienne Souter
Foundation for Health Care Quality, Stanford University, Microsoft Research
Poster Presenter: Vivienne Souter