R. Andrew Taylor

According to our database, R. Andrew Taylor authored at least 9 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Simulated evaluation of large language model stepwise diagnostic reasoning with real-world chest pain encounters and Bayesian networks.

Conrad W. Safranek, Vimig Socrates, Donald Wright, Thomas Huang, Alaa Alashi, Kent McCann, R. Andrew Taylor, David Chartash

BMC Medical Informatics Decis. Mak., December, 2026

2025

Multitask classification: assessing data complexity and determining correlations with classifier performance.

Yenny Villuendas-Rey, R. Andrew Taylor

Neural Comput. Appl., November, 2025

multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data.

Andrew J. Loza, Jun Yup Kim, Shangzheng Song, Yihang Liu, Joseph J. Y. Sung, R. Andrew Taylor, Dennis L. Shung

CoRR, May, 2025

2024

HEART: Learning better representation of EHR data with a heterogeneous relation-aware transformer.

Tinglin Huang, Syed Asad Rizvi, Rohan Krishna Thakur, Vimig Socrates, Meili Gupta, David van Dijk, R. Andrew Taylor, Rex Ying

J. Biomed. Informatics, 2024

Humans Continue to Outperform Large Language Models in Complex Clinical Decision-Making: A Study with Medical Calculators.

Nicholas Wan, Qiao Jin, Joey Chan, Guangzhi Xiong, Serina S. Applebaum, Aidan Gilson, Reid McMurry, R. Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu

CoRR, 2024

Yale at "Discharge Me!": Evaluating Constrained Generation of Discharge Summaries with Unstructured and Structured Information.

Vimig Socrates, Thomas Huang, Xuguang Ai, Soraya Fereydooni, Qingyu Chen, R. Andrew Taylor, David Chartash

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

Complexity Measurement for Multitask Classification Problems in Machine Learning.

Yenny Villuendas-Rey, R. Andrew Taylor

Proceedings of the 10th International Conference on Soft Computing & Machine Intelligence, 2023

2019

Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping.

Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi

CoRR, 2019

Sparse Embedding for Interpretable Hospital Admission Prediction.

Zepeng Huo, Harinath Sundararajhan, Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019