Search Results for author: Ken Jung

Found 2 papers, 1 papers with code

Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data

2 code implementations6 Jan 2020 Ethan Steinberg, Ken Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah

Widespread adoption of electronic health records (EHRs) has fueled the development of using machine learning to build prediction models for various clinical outcomes.

Representation Learning

Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset

no code implementations31 Oct 2017 Alejandro Schuler, Ken Jung, Robert Tibshirani, Trevor Hastie, Nigam Shah

Using simulations, we show that using synth-validation to select a causal inference method for each study lowers the expected estimation error relative to consistently using any single method.

Causal Inference

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