Sparse Embedding for Interpretable Hospital Admission Prediction. - Zepeng Huo; Harinath Sundararajhan; Nathan C. Hurley; Adrian D. Haimovich; R. Andrew Taylor; Bobak J. Mortazavi (EMBC, 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)

Complexity Measurement for Multitask Classification Problems in Machine Learning. - Yenny Villuendas-Rey; R. Andrew Taylor (ISCMI, 2023)

Yale at "Discharge Me!": Evaluating Constrained Generation of Discharge Summaries with Unstructured and Structured Information. - Vimig Socrates; Thomas Huang 003; Xuguang Ai; Soraya Fereydooni; Qingyu Chen 001; R. Andrew Taylor; David Chartash (BioNLP@ACL, 2024)

Humans Continue to Outperform Large Language Models in Complex Clinical Decision-Making: A Study with Medical Calculators. - Nicholas Wan; Qiao Jin 001; Joey Chan; Guangzhi Xiong; Serina S. Applebaum; Aidan Gilson; Reid McMurry; R. Andrew Taylor; Aidong Zhang; Qingyu Chen 001; Zhiyong Lu (CoRR, 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)

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, 2025)