Extraction and Mapping of Drug Names from Free Text to a Standardized Nomenclature. - Matthew A. Levin; Marina Krol; Ankur Doshi; David L. Reich (AMIA, 2007)

iGAS: A framework for using electronic intraoperative medical records for genomic discovery. - Matthew A. Levin; Thomas T. Joseph; Janina M. Jeff; Rajiv Nadukuru; Stephen B. Ellis; Erwin P. Bottinger; Eimear E. Kenny (J. Biomed. Informatics, 2017)

Ventilator Data Extraction with a Video Display Image Capture and Processing System. - David B. Wax; Bryan Hill; Matthew A. Levin (J. Medical Syst., 2017)

Validation of the All Patient Refined Diagnosis Related Group (APR-DRG) Risk of Mortality and Severity of Illness Modifiers as a Measure of Perioperative Risk. - Patrick J. McCormick; Hung-mo Lin; Stacie G. Deiner; Matthew A. Levin (J. Medical Syst., 2018)

A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality. - Eyal Klang; Matthew A. Levin; Shelly Soffer; Alexis Zebrowski; Benjamin S. Glicksberg; Brendan G. Carr; Jolion Mcgreevy; David L. Reich; Robert Freeman (Big Data Cogn. Comput., 2021)

Click for Help: An Anesthesiology Department Messaging System. - David B. Wax; Abrar Adeel; Jia Huang; Joshua Villar; Matthew A. Levin (J. Medical Syst., 2021)

Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn). - Faris F. Gulamali; Ashwin Sawant; Ira S. Hofer; Matthew A. Levin; Alexander Charney; Karandeep Singh; Benjamin S. Glicksberg; Girish N. Nadkarni (MLHC, 2023)

A Web-Based Reporting System for Reviewing Local Practice Patterns of Anesthesiologists Derived from the Electronic Medical Record. - David B. Wax; Ronald A. Kahn; Matthew A. Levin (J. Medical Syst., 2023)

Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. - Lathan Liou; Erick Scott; Prathamesh Parchure; Yuxia Ouyang; Natalia Egorova; Robert Freeman; Ira S. Hofer; Girish N. Nadkarni; Prem Timsina; Arash Kia; Matthew A. Levin (npj Digit. Medicine, 2024)

A distributional reinforcement learning model for optimal glucose control after cardiac surgery. - Jacob Desman; Zhang-Wei Hong; Moein Sabounchi; Ashwin S. Sawant; Jaskirat Gill; Ana C. Costa; Gagan Kumar; Rajeev Sharma; Arpeta Gupta; Paul McCarthy; Veena Nandwani; Doug Powell; et al. (npj Digit. Medicine, 2025)

Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP. - Satya Narayan Cheetirala; Ganesh Raut; Dhavalkumar Patel; Fabio Sanatana; Robert Freeman; Matthew A. Levin; Girish N. Nadkarni; Omar Dawkins; Reba Miller; Randolph M. Steinhagen; Eyal Klang; Prem Timsina (CoRR, 2025)