Medical concept intersection between outside medical records and consultant notes: A case study in transferred cardiovascular patients. - Sungrim Moon; Sijia Liu 002; Paul R. Kingsbury; David Chen 003; Yanshan Wang; Feichen Shen; Rajeev Chaudhry; Hongfang Liu (BIBM, 2017)

Predicting Time to First Treatment in Chronic Lymphocytic Leukemia Using Machine Learning Survival and Classification Methods. - David Chen 003; Gaurav Goyal; Ronald Go; Sameer Parikh; Che Ngufor (ICHI, 2018)

Ensemble Imputation for Healthcare Data. - David Chen 003; Christopher Scott; Christina L. Luong; Itzhak Z. Attia; Che Ngufor; Adelaide M. Arruda-Olson; Patricia A. Pellikka (AMIA, 2019)

A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. - Che Ngufor; Pedro J. Caraballo; Thomas J. O'Byrne; David Chen 003; Nilay D. Shah; Michael S. Steinbach; György J. Simon (AMIA, 2019)

Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data. - Akram Farhadi; David Chen 003; Rozalina G. McCoy; Christopher Scott; John A. Miller 001; Celine M. Vachon; Che Ngufor (DSAA, 2019)

Development of Clinical Concept Extraction Applications: A Methodology Review. - Sunyang Fu; David Chen 003; Sijia Liu 002; Sungrim Moon; Kevin J. Peterson; Feichen Shen; Yanshan Wang; Liwei Wang 010; Andrew Wen; Yiqing Zhao; Sunghwan Sohn; Hongfang Liu (CoRR, 2019)

Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients. - Sungrim Moon; Sijia Liu 002; David Chen 003; Yanshan Wang; Douglas L. Wood; Rajeev Chaudhry; Hongfang Liu; Paul R. Kingsbury (J. Heal. Informatics Res., 2019)

Deep learning and alternative learning strategies for retrospective real-world clinical data. - David Chen 003; Sijia Liu 002; Paul R. Kingsbury; Sunghwan Sohn; Curtis B. Storlie; Elizabeth B. Habermann; James M. Naessens; David W. Larson; Hongfang Liu (npj Digit. Medicine, 2019)

Clinical concept extraction: A methodology review. - Sunyang Fu; David Chen 003; Huan He; Sijia Liu 002; Sungrim Moon; Kevin J. Peterson; Feichen Shen; Liwei Wang 010; Yanshan Wang; Andrew Wen; Yiqing Zhao; Sunghwan Sohn; et al. (J. Biomed. Informatics, 2020)

Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. - David Chen 003; Huzefa M. Bhopalwala; Nakeya Dewaswala; Shivaram Poigai Arunachalam; Moein Enayati; Nasibeh Zanjirani Farahani; Kalyan Pasupathy; Sravani Lokineni; J. Martijn Bos; Peter A. Noseworthy; Reza Arsanjani; Bradley J. Erickson; et al. (J. Imaging, 2022)

Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports. - Nakeya Dewaswala; David Chen 003; Huzefa M. Bhopalwala; Vinod C. Kaggal; Sean P. Murphy; J. Martijn Bos; Jeffrey B. Geske; Bernard J. Gersh; Steve Ommen; Philip A. Araoz; Michael J. Ackerman; Adelaide M. Arruda-Olson (BMC Medical Informatics Decis. Mak., 2022)

Classification Using Deep Transfer Learning on Structured Healthcare Data. - Ayda Farhadi; David Chen 003; Rozalina G. McCoy; Christopher Scott; Ping Ma 001; Celine M. Vachon; Jingyi Zhang 004; Che Ngufor; John A. Miller 001 (SSCI, 2023)

Indication Driven Autoregressive Report Generation for Cardiac Magnetic Resonance Imaging. - Makiya Nakashima; Po-Hao Chen 001; Michael Bolen; Christopher Nguyen; W. H. Wilson Tang; Richard Grimm; Deborah Kwon; David Chen 003 (ML4H@NeurIPS, 2024)

FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction. - Xiaotan Sun; Makiya Nakashima; Christopher Nguyen; Po-Hao Chen 001; W. H. Wilson Tang; Deborah Kwon; David Chen 003 (J. Am. Medical Informatics Assoc., 2025)