Min Jiang

Affiliations:
  • University of Texas Health Science Center, School of Biomedical Informatics, Huston, TX, USA
  • Vanderbilt University, School of Medicine, Department of Biomedical Informatics, Nashville, TN, USA (former)


According to our database1, Min Jiang authored at least 41 papers between 2011 and 2019.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison.
BMC Medical Informatics Decis. Mak., 2019

Developing Customizable Cancer Information Extraction Modules for Pathology Reports Using CLAMP.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018
Identifying direct temporal relations between time and events from clinical notes.
BMC Medical Informatics Decis. Mak., 2018

Toward a normalized clinical drug knowledge base in China - applying the RxNorm model to Chinese clinical drugs.
J. Am. Medical Informatics Assoc., 2018

CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines.
J. Am. Medical Informatics Assoc., 2018

DataMed - an open source discovery index for finding biomedical datasets.
J. Am. Medical Informatics Assoc., 2018

Parsing Clinical Text: How Good are the state-of-the-art Deep Learning Based Parsers?
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

2017
A comparative study of different methods for automatic identification of clopidogrel-induced bleedings in electronic health records.
Proceedings of the Summit on Clinical Research Informatics, 2017

Towards practical temporal relation extraction from clinical notes: An analysis of direct temporal relations.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

CLAMP - A User-Centric Clinical Natural Language Processing Toolkit.
Proceedings of the AMIA 2017, 2017

Clinical Named Entity Recognition Using Deep Learning Models.
Proceedings of the AMIA 2017, 2017

2016
Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.
Proceedings of the AMIA 2016, 2016



2015
Parsing clinical text: how good are the state-of-the-art parsers?
BMC Medical Informatics Decis. Mak., 2015

A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature.
J. Cheminformatics, 2015

Domain adaptation for semantic role labeling of clinical text.
J. Am. Medical Informatics Assoc., 2015

Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality.
J. Am. Medical Informatics Assoc., 2015

UTH-CCB: The Participation of the SemEval 2015 Challenge - Task 14.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text.
Proceedings of the AMIA 2015, 2015

Clinical Language Annotation, Modeling, and Processing Toolkit (CLAMP) - a user-centric NLP system.
Proceedings of the AMIA 2015, 2015

2014
Research and applications: A comprehensive study of named entity recognition in Chinese clinical text.
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

Domain Adaptation for Semantic Role Labeling of Clinical Text.
Proceedings of the AMIA 2014, 2014

Mining electronic health record data to detect drug-repurposing signals for cancers.
Proceedings of the AMIA 2014, 2014

2013
Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features.
BMC Medical Informatics Decis. Mak., 2013

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

Research and applications: Syntactic parsing of clinical text: guideline and corpus development with handling ill-formed sentences.
J. Am. Medical Informatics Assoc., 2013

Evaluation of Vector Space Models for Medical Disorders Information Retrieval.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013

Clinical Acronym/Abbreviation Normalization using a Hybrid Approach.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013

Recognizing and Encoding Discorder Concepts in Clinical Text using Machine Learning and Vector Space Model.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013

2012
Extracting epidemiologic exposure and outcome terms from literature using machine learning approaches.
Int. J. Data Min. Bioinform., 2012

Clinical entity recognition using structural support vector machines with rich features.
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics, 2012

Clinical Entity Recognition Using Structural Support Vector Machines.
Proceedings of the AMIA 2012, 2012

MedEx-UIMA - An Open-Source System for Medication Information Extraction from Clinical Text.
Proceedings of the AMIA 2012, 2012

A Study of Transportability of an Existing Smoking Status Detection Module across Institutions.
Proceedings of the AMIA 2012, 2012

Extracting Semantic Lexicons from Discharge Summaries using Machine Learning and the C-Value Method.
Proceedings of the AMIA 2012, 2012

2011
Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin.
J. Am. Medical Informatics Assoc., 2011

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

An initial study of full parsing of clinical text using the Stanford Parser.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011


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