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An automatic system to identify heart disease risk factors in clinical texts over time
An automatic system to identify heart disease risk factors in clinical texts over time
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An automatic system to identify heart disease risk factors in clinical texts over time

Chen, Qingcai ; Li, Haodi ; Tang, Buzhou ; Wang, Xiaolong ; Liu, Xin ; Liu, Zengjian ; Liu, Shu ; Wang, Weida ; Deng, Qiwen ; Zhu, Suisong ; Chen, Yangxin ; Wang, Jingfeng

Journal of biomedical informatics, 2015-12, Vol.58 (Suppl), p.S158-S163 [Periódico revisado por pares]

United States: Elsevier Inc

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2
Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1
Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1
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Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1

Stubbs, Amber ; Kotfila, Christopher ; Uzuner, Özlem

Journal of biomedical informatics, 2015-12, Vol.58 (Suppl), p.S11-S19 [Periódico revisado por pares]

United States: Elsevier Inc

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3
Automatic de-identification of electronic medical records using token-level and character-level conditional random fields
Automatic de-identification of electronic medical records using token-level and character-level conditional random fields
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Automatic de-identification of electronic medical records using token-level and character-level conditional random fields

Liu, Zengjian ; Chen, Yangxin ; Tang, Buzhou ; Wang, Xiaolong ; Chen, Qingcai ; Li, Haodi ; Wang, Jingfeng ; Deng, Qiwen ; Zhu, Suisong

Journal of biomedical informatics, 2015-12, Vol.58 (Suppl), p.S47-S52 [Periódico revisado por pares]

United States: Elsevier Inc

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4
Chemical-induced disease extraction via recurrent piecewise convolutional neural networks
Chemical-induced disease extraction via recurrent piecewise convolutional neural networks
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Chemical-induced disease extraction via recurrent piecewise convolutional neural networks

Li, Haodi ; Yang, Ming ; Chen, Qingcai ; Tang, Buzhou ; Wang, Xiaolong ; Yan, Jun

BMC medical informatics and decision making, 2018-07, Vol.18 (Suppl 2), p.60-60, Article 60 [Periódico revisado por pares]

England: BioMed Central Ltd

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5
De-identification of clinical notes via recurrent neural network and conditional random field
De-identification of clinical notes via recurrent neural network and conditional random field
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De-identification of clinical notes via recurrent neural network and conditional random field

Liu, Zengjian ; Tang, Buzhou ; Wang, Xiaolong ; Chen, Qingcai

Journal of biomedical informatics, 2017-11, Vol.75, p.S34-S42 [Periódico revisado por pares]

United States: Elsevier Inc

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6
De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1
De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1
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De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1

Stubbs, Amber ; Filannino, Michele ; Uzuner, Özlem

Journal of biomedical informatics, 2017-11, Vol.75, p.S4-S18 [Periódico revisado por pares]

United States: Elsevier Inc

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7
Entity recognition from clinical texts via recurrent neural network
Entity recognition from clinical texts via recurrent neural network
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Entity recognition from clinical texts via recurrent neural network

Liu, Zengjian ; Yang, Ming ; Wang, Xiaolong ; Chen, Qingcai ; Tang, Buzhou ; Wang, Zhe ; Xu, Hua

BMC medical informatics and decision making, 2017-07, Vol.17 (Suppl 2), p.67-67, Article 67 [Periódico revisado por pares]

England: BioMed Central Ltd

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8
Family history information extraction via deep joint learning
Family history information extraction via deep joint learning
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Family history information extraction via deep joint learning

Shi, Xue ; Jiang, Dehuan ; Huang, Yuanhang ; Wang, Xiaolong ; Chen, Qingcai ; Yan, Jun ; Tang, Buzhou

BMC medical informatics and decision making, 2019-12, Vol.19 (Suppl 10), p.277-277, Article 277 [Periódico revisado por pares]

England: BioMed Central Ltd

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9
Reports Summarize Machine Learning and Cybernetics Findings from Harbin Institute of Technology
Reports Summarize Machine Learning and Cybernetics Findings from Harbin Institute of Technology
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Reports Summarize Machine Learning and Cybernetics Findings from Harbin Institute of Technology

Journal of Engineering, 2020, p.2259

NewsRX LLC

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