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1
Cost-aware active learning for named entity recognition in clinical text
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Cost-aware active learning for named entity recognition in clinical text

Wei, Qiang ; Chen, Yukun ; Salimi, Mandana ; Denny, Joshua C ; Mei, Qiaozhu ; Lasko, Thomas A ; Chen, Qingxia ; Wu, Stephen ; Franklin, Amy ; Cohen, Trevor ; Xu, Hua

Journal of the American Medical Informatics Association : JAMIA, 2019-11, Vol.26 (11), p.1314-1322 [Periódico revisado por pares]

England: Oxford University Press

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Crossing the “Cookie Theft” Corpus Chasm: Applying What BERT Learns From Outside Data to the ADReSS Challenge Dementia Detection Task
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Crossing the “Cookie Theft” Corpus Chasm: Applying What BERT Learns From Outside Data to the ADReSS Challenge Dementia Detection Task

Guo, Yue ; Li, Changye ; Roan, Carol ; Pakhomov, Serguei ; Cohen, Trevor

Frontiers in computer science (Lausanne), 2021-04, Vol.3 [Periódico revisado por pares]

Frontiers Media S.A

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3
Reflective Random Indexing and indirect inference: A scalable method for discovery of implicit connections
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Reflective Random Indexing and indirect inference: A scalable method for discovery of implicit connections

Cohen, Trevor ; Schvaneveldt, Roger ; Widdows, Dominic

Journal of biomedical informatics, 2010-04, Vol.43 (2), p.240-256 [Periódico revisado por pares]

United States: Elsevier Inc

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4
Simulating expert clinical comprehension: Adapting latent semantic analysis to accurately extract clinical concepts from psychiatric narrative
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Simulating expert clinical comprehension: Adapting latent semantic analysis to accurately extract clinical concepts from psychiatric narrative

Cohen, Trevor ; Blatter, Brett ; Patel, Vimla

Journal of biomedical informatics, 2008-12, Vol.41 (6), p.1070-1087 [Periódico revisado por pares]

United States: Elsevier Inc

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5
Embedding of semantic predications
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Embedding of semantic predications

Cohen, Trevor ; Widdows, Dominic

Journal of biomedical informatics, 2017-04, Vol.68, p.150-166 [Periódico revisado por pares]

United States: Elsevier Inc

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6
Retrieval augmentation of large language models for lay language generation
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Retrieval augmentation of large language models for lay language generation

Guo, Yue ; Qiu, Wei ; Leroy, Gondy ; Wang, Sheng ; Cohen, Trevor

Journal of biomedical informatics, 2024-01, Vol.149, p.104580-104580, Article 104580 [Periódico revisado por pares]

United States: Elsevier Inc

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7
Useful blunders: Can automated speech recognition errors improve downstream dementia classification?
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Useful blunders: Can automated speech recognition errors improve downstream dementia classification?

Li, Changye ; Xu, Weizhe ; Cohen, Trevor ; Pakhomov, Serguei

Journal of biomedical informatics, 2024-02, Vol.150, p.104598-104598, Article 104598 [Periódico revisado por pares]

United States: Elsevier Inc

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8
From benchmark to bedside: transfer learning from social media to patient-provider text messages for suicide risk prediction
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From benchmark to bedside: transfer learning from social media to patient-provider text messages for suicide risk prediction

Burkhardt, Hannah A ; Ding, Xiruo ; Kerbrat, Amanda ; Comtois, Katherine Anne ; Cohen, Trevor

Journal of the American Medical Informatics Association : JAMIA, 2023-05, Vol.30 (6), p.1068-1078 [Periódico revisado por pares]

England: Oxford University Press

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9
Augmenting aer2vec: Enriching distributed representations of adverse event report data with orthographic and lexical information
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Augmenting aer2vec: Enriching distributed representations of adverse event report data with orthographic and lexical information

Ding, Xiruo ; Mower, Justin ; Subramanian, Devika ; Cohen, Trevor

Journal of biomedical informatics, 2021-07, Vol.119, p.103833-103833, Article 103833 [Periódico revisado por pares]

Elsevier Inc

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10
Enhancing clinical concept extraction with distributional semantics
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Enhancing clinical concept extraction with distributional semantics

Jonnalagadda, Siddhartha ; Cohen, Trevor ; Wu, Stephen ; Gonzalez, Graciela

Journal of biomedical informatics, 2012-02, Vol.45 (1), p.129-140 [Periódico revisado por pares]

United States: Elsevier Inc

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