Yaoyun Zhang

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

A study of deep learning approaches for medication and adverse drug event extraction from clinical text.

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[DOI]

J. Am. Medical Informatics Assoc., 2020

Recognizing software names in biomedical literature using machine learning.

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[DOI]

Health Informatics J., 2020

Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics.

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[DOI]

Health Informatics J., 2020

Ontological representation-oriented term normalization and standardization of the Research Domain Criteria.

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[DOI]

Jane Elizabeth Hamilton

Cui Tao

Health Informatics J., 2020

Exploring the semantics in mental health research.

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[DOI]

Jiang Bian

Cui Tao

Health Informatics J., 2020

COVID-19 SignSym: A fast adaptation of general clinical NLP tools to identify and normalize COVID-19 signs and symptoms to OMOP common data model.

[BibT_eX]

[DOI]

CoRR, 2020

Melaxtech: A report for CLEF 2020 - ChEMU Task of Chemical Reaction Extraction from Patent.

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[DOI]

Proceedings of the Working Notes of CLEF 2020, 2020

An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents.

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[DOI]

Proceedings of the Working Notes of CLEF 2020, 2020

NCCD-RxNorm: Linking Chinese Clinical Drugs to International Drug Vocabulary.

[BibT_eX]

[DOI]

Jing Li

Mui Van Zandt

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Opioid2FHIR: A system for extracting FHIR-compatible opioid prescriptions from clinical text.

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[DOI]

William Christopher Mathews

Huy Anh Pham

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

LANN: An integrated online annotation tool for information extraction.

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[DOI]

Proceedings of the AMIA 2020, 2020

2019

Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison.

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[DOI]

BMC Medical Informatics Decis. Mak., 2019

The International Conference on Intelligent Biology and Medicine 2018: Medical Informatics Thematic Track (MedicalInfo2018).

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[DOI]

BMC Medical Informatics Decis. Mak., 2019

Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text.

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[DOI]

BMC Medical Informatics Decis. Mak., 2019

Time-sensitive clinical concept embeddings learned from large electronic health records.

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[DOI]

BMC Medical Informatics Decis. Mak., 2019

Special issue of BMC medical informatics and decision making on health natural language processing.

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[DOI]

V. G. Vinod Vydiswaran

Yanshan Wang

BMC Medical Informatics Decis. Mak., 2019

Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text.

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[DOI]

BMC Medical Informatics Decis. Mak., 2019

Extracting entities with attributes in clinical text via joint deep learning.

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[DOI]

J. Am. Medical Informatics Assoc., 2019

Extracting comprehensive clinical information for breast cancer using deep learning methods.

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[DOI]

Int. J. Medical Informatics, 2019

Predicting post-stroke pneumonia using deep neural network approaches.

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[DOI]

Int. J. Medical Informatics, 2019

Psychiatric stressor recognition from clinical notes to reveal association with suicide.

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[DOI]

Health Informatics J., 2019

Detect Attributes of Medical Concepts via Sequence Labeling.

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[DOI]

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Assessing depression risk in Chinese microblogs: a corpus and machine learning methods.

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[DOI]

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Precision medicine for breast cancer: extracting rich genetic and phenotypic information from Chinese clinical narratives.

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[DOI]

Proceedings of the AMIA 2019, 2019

CLAMP-ATR: A deep learning pipeline for attribute recognition of clinical concepts.

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[DOI]

Proceedings of the AMIA 2019, 2019

2018

Identifying direct temporal relations between time and events from clinical notes.

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[DOI]

BMC Medical Informatics Decis. Mak., 2018

Extracting psychiatric stressors for suicide from social media using deep learning.

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[DOI]

BMC Medical Informatics Decis. Mak., 2018

Toward a normalized clinical drug knowledge base in China - applying the RxNorm model to Chinese clinical drugs.

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[DOI]

J. Am. Medical Informatics Assoc., 2018

Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches.

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[DOI]

Int. J. Medical Informatics, 2018

Parsing Clinical Text: How Good are the state-of-the-art Deep Learning Based Parsers?

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[DOI]

Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Exploring Temporal Patterns of Suicidal Behavior on Twitter.

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[DOI]

Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Term Standardization and Normalization for Research Domain Criteria (RDoC).

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[DOI]

Jane Elizabeth Hamilton

Cui Tao

Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Guideline-driven data quality assessment- A case study of warfarin management.

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[DOI]

Proceedings of the AMIA 2018, 2018

CLAMP-PA: A machine learning based pre-annotation pipeline for corpus construction of clinical concepts.

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[DOI]

Proceedings of the AMIA 2018, 2018

Detecting Anatomical Entities in Clinical Text.

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[DOI]

Proceedings of the AMIA 2018, 2018

Building a Biomedical Bilingual Parallel Corpus between Chinese and English from PubMed.

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[DOI]

Lingyi Tang

Proceedings of the AMIA 2018, 2018

2017

Lightweight predicate extraction for patient-level cancer information and ontology development.

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[DOI]

BMC Medical Informatics Decis. Mak., 2017

Comparing Cancer Information Needs for Consumers in the US and China.

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[DOI]

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Expressing Biomedical Ontologies in Natural Language for Expert Evaluation.

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[DOI]

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Interweaving Domain Knowledge and Unsupervised Learning for Psychiatric Stressor Extraction from Clinical Notes.

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[DOI]

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Knowledge-Based Approach for Named Entity Recognition in Biomedical Literature: A Use Case in Biomedical Software Identification.

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[DOI]

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Towards practical temporal relation extraction from clinical notes: An analysis of direct temporal relations.

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[DOI]

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

A pilot study of mining association between psychiatric stressors and symptoms in tweets.

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[DOI]

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

Evaluating Word Embeddings from Multiple Domains for Symptom Recognition in Psychiatric Notes.

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[DOI]

Proceedings of the AMIA 2017, 2017

Detecting Body Location Modifiers of Disorders in Clinical Texts via Sequence Labeling.

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[DOI]

Proceedings of the AMIA 2017, 2017

Detecting Contradictory and Consistent Citations in Biomedical Literature.

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[DOI]

Proceedings of the AMIA 2017, 2017

Identifying Disease Hierarchical Relation with Concept Embeddings and Distant Supervision.

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[DOI]

Lingyi Tang

Proceedings of the AMIA 2017, 2017

Leveraging existing corpora for de-identification of psychiatric notes using domain adaptation.

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[DOI]

Proceedings of the AMIA 2017, 2017

2016

Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.gov.

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[DOI]

J. Am. Medical Informatics Assoc., 2016

Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature.

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[DOI]

BMC Syst. Biol., 2016

Erratum to: Extracting drug-enzyme relation from literature as evidence for drug drug interaction.

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J. Biomed. Semant., 2016

Extracting drug-enzyme relation from literature as evidence for drug drug interaction.

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J. Biomed. Semant., 2016

Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning.

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[DOI]

Database J. Biol. Databases Curation, 2016

CD-REST: a system for extracting chemical-induced disease relation in literature.

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[DOI]

Database J. Biol. Databases Curation, 2016

UTHealth at SemEval-2016 Task 12: an End-to-End System for Temporal Information Extraction from Clinical Notes.

[BibT_eX]

[DOI]

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

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[DOI]

Proceedings of the AMIA 2016, 2016

What Can Neural Networks Learn from Unlabeled Clinical Narratives?

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[DOI]

Proceedings of the AMIA 2016, 2016

GWAS Finder: Search Engine for GWAS Datasets in Biomedical Literature.

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[DOI]

Xiao Dong

Proceedings of the AMIA 2016, 2016

2015

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

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[DOI]

J. Cheminformatics, 2015

Domain adaptation for semantic role labeling of clinical text.

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[DOI]

J. Am. Medical Informatics Assoc., 2015

UTH-CCB: The Participation of the SemEval 2015 Challenge - Task 14.

[BibT_eX]

[DOI]

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

HITSZ-ICRC: Exploiting Classification Approach for Answer Selection in Community Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Distant Supervision for Relation Extraction via Group Selection.

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[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Clinical Abbreviation Disambiguation Using Neural Word Embeddings.

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[DOI]

Proceedings of the Workshop on Biomedical Natural Language Processing, BioNLP@IJCNLP 2015, 2015

A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2015, 2015

Recognizing Disjoint Clinical Concepts in Clinical Text Using Machine Learning-based Methods.

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[DOI]

Proceedings of the AMIA 2015, 2015

Citation Sentiment Analysis in Clinical Trial Papers.

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[DOI]

Proceedings of the AMIA 2015, 2015

2014

UTH_CCB: A report for SemEval 2014 - Task 7 Analysis of Clinical Text.

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[DOI]

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

A Chinese question answering system based on web search.

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[DOI]

Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Ontology-based Normalization for Disease-Lab test Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Biomedical Ontology, 2014

Domain Adaptation for Semantic Role Labeling of Clinical Text.

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[DOI]

Proceedings of the AMIA 2014, 2014

A Preliminary Study of Coupling Transfer Learning with Active Learning for Clinical Named Entity Recognition between Two Institutions.

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[DOI]

Proceedings of the AMIA 2014, 2014

Problematic Situation Analysis and Automatic Recognition for Chinese Online Conversational System.

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[DOI]

Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2014

2013

ICRCS at Intent2: Applying Rough Set and Semantic Relevance for Subtopic Mining.

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[DOI]

Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, 2013

Grammatical Error Correction Using Feature Selection and Confidence Tuning.

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[DOI]

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

A Hybrid Model For Grammatical Error Correction.

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[DOI]

Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, 2013

Evaluation of Vector Space Models for Medical Disorders Information Retrieval.

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[DOI]

Proceedings of the Working Notes for CLEF 2013 Conference , 2013

Understanding Consumers' Information Needs about Breast Cancer by Analyzing Online Questions.

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[DOI]