The Yale cTAKES extensions for document classification: architecture and application. - Vijay Garla; Vincent Lo Re III; Zachariah Dorey-Stein; Farah Kidwai; Matthew Scotch; Julie A. Womack; Amy Justice; Cynthia Brandt (J. Am. Medical Informatics Assoc., 2011)

Automating Identification of OEF/OIF Veterans Diagnosed with ALS. - Jennifer M. Aucoin; Shon G. Michael; Amy Justice; Perry L. Miller; Cynthia Brandt; Huned Patwa (AMIA, 2015)

Exploring Healthcare Mobility in the US to Improve Quality of Care: Preliminary Results. - Karen H. Wang; Constance Carroll; Brenda Fenton; Samah J. Fodeh; Joseph Erdos; Marcella Nunez-Smith; Amy Justice; Cynthia Brandt (AMIA, 2015)

Phenotyping physiologic measurement of lung function in a large electronic health record using automated tools. - Kathleen M. Akgün; Keith Sigel; Kei Cheung; Farah Kidwai-Khan; Alex K. Bryant; Cynthia Brandt; Amy C. Justice; Kristina Crothers (AMIA, 2017)

Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains. - Nallakkandi Rajeevan; Kristina M. Niehoff; Peter Charpentier; Forrest L. Levin; Amy Justice; Cynthia Brandt; Terri R. Fried; Perry L. Miller (BMC Medical Informatics Decis. Mak., 2017)

Notes from the Field: Real-World Clinical Information Exchange between Electronic Health Records. - Karen H. Wang; Erica Moreira; Todd Kawecki; Amy C. Justice; Marcella Nunez-Smith; Cynthia Brandt; Nitu Kashyap (AMIA, 2018)

Attacking the opioid epidemic: determining the epistatic and pleiotropic genetic architectures for chronic pain and opioid addiction. - Wayne Joubert; Deborah A. Weighill; David Kainer; Sharlee Climer; Amy Justice; Kjiersten Fagnan; Daniel A. Jacobson (SC, 2018)

Preliminary chart review for Natural Language Processing development among electronic health records with documentation of marijuana use. - Termeh Feinberg; Joseph L. Goulet; Amy C. Justice; Samah Jamal Fodeh; Lori Bastian; Qing T. Zeng; Cynthia Brandt (AMIA, 2019)

Machine Learning for Time to Event Biomedical Research. - Ioana Danciu; Greeshma A. Agasthya; Janet P. Tate; Amy C. Justice; Benjamin H. McMahon; Olga Ovchinnikova (AMIA, 2021)

Learning from learning machines: a new generation of AI technology to meet the needs of science. - Luca Pion-Tonachini; Kristofer E. Bouchard; Héctor García Martín; Sean Peisert; W. Bradley Holtz; Anil Aswani; Dipankar Dwivedi; Haruko M. Wainwright; Ghanshyam Pilania; Benjamin Nachman; Babetta L. Marrone; Nicola Falco; et al. (CoRR, 2021)

COVID-19 Insights Partnership: Leveraging big data from the Department of Veterans Affairs and supercomputers at the Department of Energy under the public health authority. - Rachel Ramoni; Molly Klote; Sumitra Muralidhar; Cynthia Brandt; Maya A. Bernstein; Benjamin H. McMahon; Daniel A. Jacobson; Amy C. Justice (J. Am. Medical Informatics Assoc., 2021)

Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care. - Farah Kidwai-Khan; Christopher T. Rentsch; Rebecca Pulk; Charles Alcorn; Cynthia A. Brandt; Amy C. Justice (Frontiers Big Data, 2022)

In with the old, in with the new: machine learning for time to event biomedical research. - Ioana Danciu; Greeshma A. Agasthya; Janet P. Tate; Mayanka Chandra Shekar; Ian Goethert; Olga Ovchinnikova; Benjamin H. McMahon; Amy C. Justice (J. Am. Medical Informatics Assoc., 2022)

VISION: Toward a Standardized Process for Radiology Image Management at the National Level. - Kathryn Knight; Ioana Danciu; Olga Ovchinnikova; Jacob D. Hinkle; Mayanka Chandra Shekar; Debangshu Mukherjee; Eileen McAllister; Caitlin Rizy; Kelly Cho; Amy C. Justice; Joseph Erdos; Peter Kuzmak; et al. (CoRR, 2024)

Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population. - Mayanka Chandrashekar; Ian Goethert; Md Inzamam Ul Haque; Benjamin McMahon; Sayera Dhaubhadel; Kathryn Knight; Joseph Erdos; Donna Reagan; Caroline Taylor; Peter Kuzmak; John Michael Gaziano; Eileen McAllister; et al. (CoRR, 2024)

Incorporating local ancestry information to predict genetically associated DNA methylation in admixed populations. - Youshu Cheng; Geyu Zhou; Hongyu Li; Xinyu Zhang; Amy Justice; Claudia Martinez; Bradley E. Aouizerat; Ke Xu; Hongyu Zhao 003 (Briefings Bioinform., 2025)