CrossRef Text and Data Mining
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Decision-Making Support Using a Standardized Script and Visual Decision Aid to Reduce Door-to-Needle Time in Stroke
Hye-Yeon Choi, Eun Hye Kim, Joonsang Yoo, Kijeong Lee, Dongbeom Song, Young Dae Kim, Han-Jin Cho, Hyo Suk Nam, Kyung Yul Lee, Hye Sun Lee, Ji Hoe Heo
J Stroke. 2016;18(2):239-241.   Published online May 31, 2016
DOI: https://doi.org/10.5853/jos.2016.00374

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Decision-Making Support Using a Standardized Script and Visual Decision Aid to Reduce Door-to-Needle Time in Stroke
Journal of Stroke. 2016;18(2):239-241   Crossref logo
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An IoT-Based Framework to Support Decision Making Process Using Quality Function Deployment
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Decision-making support system for fruit diseases classification using Deep Learning
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Visual Aid Tool to Improve Decision Making in Anticoagulation for Stroke Prevention
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A Contextual Methodology for Modelling Real-Time Decision-Making Support
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AN INTERACTIVE DECISION SUPPORT SYSTEM (IDSS) FOR MULTICRITERIA DECISION AID
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Real-Time Monitoring and Evaluation of a Visual-Based Cervical Cancer Screening Program Using a Decision Support Job Aid
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Collection of Time-Dependent Data Using Audio-Visual Stated Choice
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Challenges of Real-Time Decision Support
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Supporting complex real-time decision making through machine learning
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