David Chen

According to our database, David Chen authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Classification Using Deep Transfer Learning on Structured Healthcare Data.

Ayda Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, Ping Ma, Celine M. Vachon, Jingyi Zhang, Che Ngufor, John A. Miller

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports.

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

BMC Medical Informatics Decis. Mak., December, 2022

Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation.

David Chen, 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, Jeffrey B. Geske, Michael J. Ackerman, Philip A. Araoz, Adelaide M. Arruda-Olson

J. Imaging, 2022

2020

Clinical concept extraction: A methodology review.

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

J. Biomed. Informatics, 2020

2019

Deep learning and alternative learning strategies for retrospective real-world clinical data.

David Chen, Sijia Liu, Paul R. Kingsbury, Sunghwan Sohn, Curtis B. Storlie, Elizabeth B. Habermann, James M. Naessens, David W. Larson, Hongfang Liu

npj Digit. Medicine, 2019

Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients.

Sungrim Moon, Sijia Liu, David Chen, Yanshan Wang, Douglas L. Wood, Rajeev Chaudhry, Hongfang Liu, Paul R. Kingsbury

J. Heal. Informatics Res., 2019

Development of Clinical Concept Extraction Applications: A Methodology Review.

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

CoRR, 2019

Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data.

Akram Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, John A. Miller, Celine M. Vachon, Che Ngufor

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 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, Nilay D. Shah, Michael S. Steinbach, György J. Simon

Proceedings of the AMIA 2019, 2019

Ensemble Imputation for Healthcare Data.

David Chen, Christopher Scott, Christina L. Luong, Itzhak Z. Attia, Che Ngufor, Adelaide M. Arruda-Olson, Patricia A. Pellikka

Proceedings of the AMIA 2019, 2019

2018

Predicting Time to First Treatment in Chronic Lymphocytic Leukemia Using Machine Learning Survival and Classification Methods.

David Chen, Gaurav Goyal, Ronald Go, Sameer Parikh, Che Ngufor

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2017

Medical concept intersection between outside medical records and consultant notes: A case study in transferred cardiovascular patients.

Sungrim Moon, Sijia Liu, Paul R. Kingsbury, David Chen, Yanshan Wang, Feichen Shen, Rajeev Chaudhry, Hongfang Liu

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017