7.6k citations · 9.7k across the 31 of their papers we have counts for
4 papers · 1 filter
Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning
Gabriel Erion, Hugh Chen, Scott M. Lundberg +1
We use a deep learning model trained only on a patient's blood oxygenation data (measurable with an inexpensive fingertip sensor) to predict impending hypoxemia (low blood oxygen)…
Checkpoint Ensembles: Ensemble Methods from a Single Training Process
Hugh Chen, Scott Lundberg, Su-In Lee
We present the checkpoint ensembles method that can learn ensemble models on a single training process. Although checkpoint ensembles can be applied to any parametric iterative lea…
Consistent feature attribution for tree ensembles
Scott M. Lundberg, Su-In Lee
Note that a newer expanded version of this paper is now available at: arXiv:1802.03888 It is critical in many applications to understand what features are important for a model, an…
A Unified Approach to Interpreting Model Predictions
Scott Lundberg, Su-In Lee
Understanding why a model makes a certain prediction can be as crucial as the prediction's accuracy in many applications. However, the highest accuracy for large modern datasets is…