Identifying and Extracting Rare Disease Phenotypes with Large Language Models

1 code implementation • 22 Jun 2023 • Cathy Shyr, Yan Hu, Paul A. Harris, Hua Xu

Despite this, ChatGPT achieved similar or higher accuracy for certain entities (i. e., rare diseases and signs) in the one-shot setting (F1 of 0. 776 and 0. 725).

Language Modelling Large Language Model +4

Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning

1 code implementation • 1 Jun 2023 • Cathy Shyr, Boyu Ren, Prasad Patil, Giovanni Parmigiani

To this end, we propose a framework for multi-study HTE estimation that accounts for between-study heterogeneity in the nuisance functions and treatment effects.

Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling

1 code implementation • 11 Jul 2022 • Cathy Shyr, Pragya Sur, Giovanni Parmigiani, Prasad Patil

In the regression setting, we provide theoretical guidelines based on an analytical transition point to determine whether it is more beneficial to merge or to ensemble for boosting with linear learners.