102 citations · 359 across the 20 of their papers we have counts for
3 papers · 1 filter
Confounding Feature Acquisition for Causal Effect Estimation
Shirly Wang, Seung Eun Yi, Shalmali Joshi +1
Reliable treatment effect estimation from observational data depends on the availability of all confounding information. While much work has targeted treatment effect estimation fr…
Probabilistic Machine Learning for Healthcare
Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi +1
Machine learning can be used to make sense of healthcare data. Probabilistic machine learning models help provide a complete picture of observed data in healthcare. In this review,…
Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data
Maggie Makar, Marzyeh Ghassemi, David Cutler +1
Risk prediction is central to both clinical medicine and public health. While many machine learning models have been developed to predict mortality, they are rarely applied in the…