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Attention-Based Models for Classifying Small Data Sets Using Community-Engaged Research Protocols: Classification System Development and Validation Pilot Study.

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第一作者： Brian J,Ferrell

第一单位： Center for Community Engagement and Impact, Virginia Commonwealth University, Richmond, VA, United States.

作者： Brian J,Ferrell ^[1] ; Sarah E,Raskin ^[2] ; Emily B,Zimmerman ^[3] ; David H,Timberline ^[1] ; Bridget T,McInnes ^[4] ; Alex H,Krist ^[5]

作者单位： Center for Community Engagement and Impact, Virginia Commonwealth University, Richmond, VA, United States. ^[1] L Douglas Wilder School of Government and Public Affairs, Virginia Commonwealth University, Richmond, VA, United States. ^[2] Center on Society and Health, Virginia Commonwealth University, Richmond, VA, United States. ^[3] Computer Science Department, Virginia Commonwealth University, Richmond, VA, United States. ^[4] Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, VA, United States. ^[5]

关键词 BERT IRB research community engagement community-engaged research data augmentation deep learning participatory research prototype text classification transformer-based models

DOI 10.2196/32460

PMID 36066925

发布时间 2022-09-24

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Attention-Based Models for Classifying Small Data Sets Using Community-Engaged Research Protocols: Classification System Development and Validation Pilot Study.

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Attention-Based Models for Classifying Small Data Sets Using Community-Engaged Research Protocols: Classification System Development and Validation Pilot Study.

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