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20222026
most citedIdentifying and Extracting Rare Disease Phenotypes with Large Language Models

60 citations · 64 across the 4 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CL2023★ 60 cited

Identifying and Extracting Rare Disease Phenotypes with Large Language Models

Cathy Shyr, Yan Hu, Paul A. Harris +1

Rare diseases (RDs) are collectively common and affect 300 million people worldwide. Accurate phenotyping is critical for informing diagnosis and treatment, but RD phenotypes are o…

stat.ME2023★ 2 cited

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

Cathy Shyr, Boyu Ren, Prasad Patil +1

Estimating heterogeneous treatment effects (HTEs) is crucial for precision medicine. While multiple studies can improve the generalizability of results, leveraging them for estimat…