David Chen

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 11

Top Topics

Medical Records

Transfer Learning

Chronic Disease

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Ayda Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, Ping Ma, Celine M. Vachon, Jingyi Zhang, Che Ngufor, John A. Miller
Classification Using Deep Transfer Learning on Structured Healthcare Data. SSCI (2023)
Nakeya Dewaswala, David Chen, 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
Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Sunyang Fu, David Chen, Huan He, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Liwei Wang, Yanshan Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu
Clinical concept extraction: A methodology review. J. Biomed. Informatics 109 (2020)
Akram Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, John A. Miller, Celine M. Vachon, Che Ngufor
Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data. DSAA (2019)
Sungrim Moon, Sijia Liu, David Chen, Yanshan Wang, Douglas L. Wood, Rajeev Chaudhry, Hongfang Liu, Paul R. Kingsbury
Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients. J. Heal. Informatics Res. 3 (2) (2019)
David Chen, Christopher Scott, Christina L. Luong, Itzhak Z. Attia, Che Ngufor, Adelaide M. Arruda-Olson, Patricia A. Pellikka
Ensemble Imputation for Healthcare Data. AMIA (2019)
Che Ngufor, Pedro J. Caraballo, Thomas J. O'Byrne, David Chen, Nilay D. Shah, Michael S. Steinbach, György J. Simon
A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. AMIA (2019)
David Chen, Sijia Liu, Paul R. Kingsbury, Sunghwan Sohn, Curtis B. Storlie, Elizabeth B. Habermann, James M. Naessens, David W. Larson, Hongfang Liu
Deep learning and alternative learning strategies for retrospective real-world clinical data. npj Digit. Medicine 2 (2019)
Sunyang Fu, David Chen, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Yanshan Wang, Liwei Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu
Development of Clinical Concept Extraction Applications: A Methodology Review. CoRR (2019)
David Chen, Gaurav Goyal, Ronald Go, Sameer Parikh, Che Ngufor
Predicting Time to First Treatment in Chronic Lymphocytic Leukemia Using Machine Learning Survival and Classification Methods. ICHI (2018)
Sungrim Moon, Sijia Liu, Paul R. Kingsbury, David Chen, Yanshan Wang, Feichen Shen, Rajeev Chaudhry, Hongfang Liu
Medical concept intersection between outside medical records and consultant notes: A case study in transferred cardiovascular patients. BIBM (2017)