David Chen

Orcid: 0000-0001-5531-9180

Affiliations:
  • Cleveland Clinic, Cleveland, OH, USA
  • Mayo Clinic Rochester, Division of Biomedical Statistics and Informatics, MN, USA (former)
  • Northwestern University, Department of Biomedical Engineering, Evanston, IL, USA (PhD 2015)


According to our database1, David Chen authored at least 12 papers between 2017 and 2023.

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Timeline

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Bibliography

2023
Classification Using Deep Transfer Learning on Structured Healthcare Data.
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.
BMC Medical Informatics Decis. Mak., December, 2022

Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation.
J. Imaging, 2022

2020
Clinical concept extraction: A methodology review.
J. Biomed. Informatics, 2020

2019
Deep learning and alternative learning strategies for retrospective real-world clinical data.
npj Digit. Medicine, 2019

Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients.
J. Heal. Informatics Res., 2019

Development of Clinical Concept Extraction Applications: A Methodology Review.
CoRR, 2019

Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data.
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.
Proceedings of the AMIA 2019, 2019

Ensemble Imputation for Healthcare Data.
Proceedings of the AMIA 2019, 2019

2018
Predicting Time to First Treatment in Chronic Lymphocytic Leukemia Using Machine Learning Survival and Classification Methods.
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.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017


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