9 citations · 11 across the 4 of their papers we have counts for
4 papers
Human-AI Co-design for Clinical Prediction Models
Jean Feng, Avni Kothari, Patrick Vossler +6
Developing safe, effective, and practically useful clinical prediction models (CPMs) traditionally requires iterative collaboration between clinical experts, data scientists, and i…
ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance
Liwen Sun, Abhineet Agarwal, Aaron Kornblith +2
In the emergency department (ED), patients undergo triage and multiple laboratory tests before diagnosis. This time-consuming process causes ED crowding which impacts patient morta…
Group Probability-Weighted Tree Sums for Interpretable Modeling of Heterogeneous Data
Keyan Nasseri, Chandan Singh, James Duncan +2
Machine learning in high-stakes domains, such as healthcare, faces two critical challenges: (1) generalizing to diverse data distributions given limited training data while (2) mai…
Fast Interpretable Greedy-Tree Sums
Yan Shuo Tan, Chandan Singh, Keyan Nasseri +6
Modern machine learning has achieved impressive prediction performance, but often sacrifices interpretability, a critical consideration in high-stakes domains such as medicine. In…