Characterizing database granularity using SNOMED-CT hierarchy. - Anna Ostropolets; Christian G. Reich; Patrick B. Ryan; Chunhua Weng; Anthony Molinaro; Frank J. DeFalco; Jitendra Jonnagaddala; Siaw-Teng Liaw; Hokyun Jeon; Rae Woong Park; Matthew E. Spotnitz; Karthik Natarajan; et al. (AMIA, 2020)

Harmonization of Measurement Codes for Concept-Oriented Lab Data Retrieval. - Matthew E. Spotnitz; Jason Patterson; Vojtech Huser; Chunhua Weng; Karthik Natarajan (AMIA, 2021)

CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks. - Chao Pang; Xinzhuo Jiang; Krishna S. Kalluri; Matthew E. Spotnitz; Ruijun Chen; Adler J. Perotte; Karthik Natarajan (ML4H@NeurIPS, 2021)

Scalable and interpretable alternative to chart review for phenotype evaluation using standardized structured data from electronic health records. - Anna Ostropolets; George Hripcsak; Syed A Husain; Lauren R. Richter; Matthew E. Spotnitz; Ahmed Elhussein; Patrick B. Ryan (J. Am. Medical Informatics Assoc., 2023)

Identifying erroneous height and weight values from adult electronic health records in the All of Us research program. - Andrew Guide; Lina Sulieman; Shawn Garbett; Robert M. Cronin; Matthew E. Spotnitz; Karthik Natarajan; Robert J. Carroll; Paul A. Harris; Qingxia Chen (J. Biomed. Informatics, 2024)

Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation. - Jimyung Park; Yilu Fang; Casey N. Ta; Gongbo Zhang; Betina Idnay; Fangyi Chen; David Feng; Rebecca Shyu; Emily R. Gordon; Matthew E. Spotnitz; Chunhua Weng (J. Biomed. Informatics, 2024)

Closing the gap between open source and commercial large language models for medical evidence summarization. - Gongbo Zhang; Qiao Jin 001; Yiliang Zhou; Song Wang 026; Betina Idnay; Yiming Luo; Elizabeth Park; Jordan G. Nestor; Matthew E. Spotnitz; Ali Soroush; Thomas Campion; Zhiyong Lu; et al. (npj Digit. Medicine, 2024)