9 citations · 11 across the 3 of their papers we have counts for
3 papers
High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records
Alex Taylor, Ross Kleiman, Scott Hebbring +2
Accurate estimation of healthcare costs is crucial for healthcare systems to plan and effectively negotiate with insurance companies regarding the coverage of patient-care costs. G…
High-Throughput Machine Learning from Electronic Health Records
Ross S. Kleiman, Paul S. Bennett, Peggy L. Peissig +5
The widespread digitization of patient data via electronic health records (EHRs) has created an unprecedented opportunity to use machine learning algorithms to better predict disea…
Privacy-Preserving Collaborative Prediction using Random Forests
Irene Giacomelli, Somesh Jha, Ross Kleiman +2
We study the problem of privacy-preserving machine learning (PPML) for ensemble methods, focusing our effort on random forests. In collaborative analysis, PPML attempts to solve th…