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Author Details

Yonghui Wu
University of Florida
2011
65
23
PMIDPaper TitleJournal TitlePublished Year
36577203Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias.Int J Med Inform2023
36577203Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias.Int J Med Inform2023
35309014A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models.AMIA Annu Symp Proc2022
35309014A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models.AMIA Annu Symp Proc2022
34414397Transformer-Based Named Entity Recognition for Parsing Clinical Trial Eligibility Criteria.ACM BCB2021
34613399Extracting social determinants of health from electronic health records using natural language processing: a systematic review.J Am Med Inform Assoc2021
34414397Transformer-Based Named Entity Recognition for Parsing Clinical Trial Eligibility Criteria.ACM BCB2021
34613399Extracting social determinants of health from electronic health records using natural language processing: a systematic review.J Am Med Inform Assoc2021
30969146Assessing mental health signals among sexual and gender minorities using Twitter data.Health Informatics J2020
32308890Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods.AMIA Annu Symp Proc2020
32477696Mining Twitter to Assess the Determinants of Health Behavior towards Palliative Care in the United States.AMIA Jt Summits Transl Sci Proc2020
33786419A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives.IEEE Int Conf Healthc Inform2020
33320104Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models.JMIR Med Inform2020
32980667Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach.Int J Med Inform2020
33350768International Classification of Diseases, Tenth Revision, Clinical Modification social determinants of health codes are poorly used in electronic health records.Medicine (Baltimore)2020
32632237Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis.Sci Rep2020
33173920A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives.medRxiv2020
33120431Clinical concept extraction using transformers.J Am Med Inform Assoc2020
33226350Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models.JMIR Med Inform2020
33166397Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data.J Am Med Inform Assoc2020
31504605Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.J Am Med Inform Assoc2020
30969146Assessing mental health signals among sexual and gender minorities using Twitter data.Health Informatics J2020
33786419A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives.IEEE Int Conf Healthc Inform2020
33226350Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models.JMIR Med Inform2020
33166397Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data.J Am Med Inform Assoc2020
33350768International Classification of Diseases, Tenth Revision, Clinical Modification social determinants of health codes are poorly used in electronic health records.Medicine (Baltimore)2020
33320104Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models.JMIR Med Inform2020
33120431Clinical concept extraction using transformers.J Am Med Inform Assoc2020
33173920A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives.medRxiv2020
32632237Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis.Sci Rep2020
32980667Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach.Int J Med Inform2020
32477696Mining Twitter to Assess the Determinants of Health Behavior towards Palliative Care in the United States.AMIA Jt Summits Transl Sci Proc2020
32308890Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods.AMIA Annu Symp Proc2020
31504605Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.J Am Med Inform Assoc2020
30600484MADEx: A System for Detecting Medications, Adverse Drug Events, and Their Relations from Clinical Notes.Drug Saf2019
31801529Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text.BMC Med Inform Decis Mak2019
31801524A study of deep learning methods for de-identification of clinical notes in cross-institute settings.BMC Med Inform Decis Mak2019
31879734A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings.IEEE Int Conf Healthc Inform2019
32537570Detect Attributes of Medical Concepts via Sequence Labeling.IEEE Int Conf Healthc Inform2019
30600484MADEx: A System for Detecting Medications, Adverse Drug Events, and Their Relations from Clinical Notes.Drug Saf2019
31141421Discovery of Noncancer Drug Effects on Survival in Electronic Health Records of Patients With Cancer: A New Paradigm for Drug Repurposing.JCO Clin Cancer Inform2019
30961579Time-sensitive clinical concept embeddings learned from large electronic health records.BMC Med Inform Decis Mak2019
30901048Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.JAMA Netw Open2019
31801529Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text.BMC Med Inform Decis Mak2019
31801524A study of deep learning methods for de-identification of clinical notes in cross-institute settings.BMC Med Inform Decis Mak2019
31879734A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings.IEEE Int Conf Healthc Inform2019
32537570Detect Attributes of Medical Concepts via Sequence Labeling.IEEE Int Conf Healthc Inform2019
31141421Discovery of Noncancer Drug Effects on Survival in Electronic Health Records of Patients With Cancer: A New Paradigm for Drug Repurposing.JCO Clin Cancer Inform2019
30961579Time-sensitive clinical concept embeddings learned from large electronic health records.BMC Med Inform Decis Mak2019
30901048Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.JAMA Netw Open2019
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Collaborators

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Co-authored papers 38
Jiang Bian
College of Medicine, University of Florida
Co-authored papers 20
Yaoyun Zhang
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Yi Guo
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William R Hogan
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Min Jiang
The University of Texas Health Science Center at Houston
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Joshua C Denny
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Hee-Jin Lee
The University of Texas School of Biomedical Informatics
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Jingqi Wang
The University of Texas Health Science Center at Houston
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Hua Xu
The University of Texas Health Science Center at Houston
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Randolph A Miller
National Institutes of Health
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Dario A Giuse
Vanderbilt University Medical Center
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Thomas J George
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Yang Xiang
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Peng Jin
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Jingchun Sun
The University of Texas Health Science Center at Houston
Co-authored papers 3
Degui Zhi
University of Texas Health Science Center at Houston
Co-authored papers 3
Zhiheng Li
College of Materials and Chemical Engineering, Zhengzhou University of Light Industry
Co-authored papers 3
Wenjin Jim Zheng
University of Texas Health Science Center at Houston
Co-authored papers 3
Zhaoyi Chen
University of Florida
Co-authored papers 3
Patrick B Ryan
Columbia University Irving Medical Center
Co-authored papers 3
Martijn J Schuemie
University of California los angeles
Co-authored papers 3
Nigam H Shah
Stanford University
Co-authored papers 3
Christian Reich
OHDSI Center at The Roux Institute, Northeastern University
Co-authored papers 3
Jon Duke
Georgia Tech Research Institute, Georgia Tech College of Computing
Co-authored papers 2
Rae Woong Park
Ajou University Graduate School of Medicine
Co-authored papers 2
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