1 citations · 1 across the 3 of their papers we have counts for
3 papers
A Large Language Model Outperforms Other Computational Approaches to the High-Throughput Phenotyping of Physician Notes
Syed I. Munzir, Daniel B. Hier, Chelsea Oommen +1
High-throughput phenotyping, the automated mapping of patient signs and symptoms to standardized ontology concepts, is essential to gaining value from electronic health records (EH…
Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids
Daniel B. Hier, Tayo Obafemi-Ajayi, Gayla R. Olbricht +3
Dimension reduction is increasingly applied to high-dimensional biomedical data to improve its interpretability. When datasets are reduced to two dimensions, each observation is as…
High Throughput Phenotyping of Physician Notes with Large Language and Hybrid NLP Models
Syed I. Munzir, Daniel B. Hier, Michael D. Carrithers
Deep phenotyping is the detailed description of patient signs and symptoms using concepts from an ontology. The deep phenotyping of the numerous physician notes in electronic healt…