Yukun Chen

Orcid: 0000-0002-3639-5847

Affiliations:
  • Pieces Technologies Inc, Dallas, TX, USA
  • Vanderbilt University, Department of Biomedical Informatics, Nashville, TN, USA (PhD 2015)


According to our database1, Yukun Chen authored at least 23 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2019
Cost-aware active learning for named entity recognition in clinical text.
J. Am. Medical Informatics Assoc., 2019

2017
An active learning-enabled annotation system for clinical named entity recognition.
BMC Medical Informatics Decis. Mak., 2017

2016
A Study of Active Learning for Document Selection in Clinical Named Entity Recognition.
Proceedings of the AMIA 2016, 2016

Applying Active Learning to Clinical Abbreviation Disambiguation in Real Time.
Proceedings of the AMIA 2016, 2016

2015
Active Learning for Named Entity Recognition in Clinical Text.
PhD thesis, 2015

A study of active learning methods for named entity recognition in clinical text.
J. Biomed. Informatics, 2015

Real Time Active Learning Study for Clinical Named Entity Recognition.
Proceedings of the AMIA 2015, 2015

2014
Medical decision support using machine learning for early detection of late-onset neonatal sepsis.
J. Am. Medical Informatics Assoc., 2014

UTH_CCB: A report for SemEval 2014 - Task 7 Analysis of Clinical Text.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Applying Active Learning to Word Sense Disambiguation in a Real-Time Setting.
Proceedings of the AMIA 2014, 2014

A Preliminary Study of Coupling Transfer Learning with Active Learning for Clinical Named Entity Recognition between Two Institutions.
Proceedings of the AMIA 2014, 2014

Automated Assessment of Medical Students' Clinical Exposures according to AAMC Geriatric Competencies.
Proceedings of the AMIA 2014, 2014

2013
A hybrid system for temporal information extraction from clinical text.
J. Am. Medical Informatics Assoc., 2013

Research and applications: Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy.
J. Am. Medical Informatics Assoc., 2013

Applying active learning to supervised word sense disambiguation in MEDLINE.
J. Am. Medical Informatics Assoc., 2013

A Study of Active Learning Methods for Clinical Entities Recognition.
Proceedings of the AMIA 2013, 2013

2012
Applying active learning to assertion classification of concepts in clinical text.
J. Biomed. Informatics, 2012

Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs.
J. Am. Medical Informatics Assoc., 2012

Type 2 Diabetes Risk Forecasting from EMR Data using Machine Learning.
Proceedings of the AMIA 2012, 2012

2011
Active Learning for Unbalanced Data in the Challenge with Multiple Models and Biasing.
Proceedings of the Active Learning and Experimental Design workshop, 2011

A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.
J. Am. Medical Informatics Assoc., 2011

2010
Identifying potential drugs that induce QT prolongation using electronic medical records.
BMC Bioinform., 2010

Study of active learning in the challenge.
Proceedings of the International Joint Conference on Neural Networks, 2010


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