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