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ORCIDInternational Journal of Medical Informatics, Volume 171
Volume 171, March 2023
- Aditya Kashyap, Chris Callison-Burch, Mary Regina Boland
:
A deep learning method to detect opioid prescription and opioid use disorder from electronic health records. 104979
- Rosy Tsopra, Nathan Peiffer-Smadja, Caroline Charlier, Florence Campeotto, Cédric Lemogne, Philippe Ruszniewski, Benoît Vivien, Anita Burgun:
Putting undergraduate medical students in AI-CDSS designers' shoes: An innovative teaching method to develop digital health critical thinking. 104980
- Qi Zhang, Yinglu Liang, Yi Zhang, Zihao Tao, Rui Li, Hai Bi:
A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation. 104984
- Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall:
Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment. 104985
- Martina Fernández-Gutiérrez, Pilar Bas-Sarmiento, Antonio Jesús Marín-Paz, Cristina Castro-Yuste, Eduardo Sánchez-Sánchez, Eulàlia Hernández i Encuentra, Maria Jesus Vinolo-Gil, Ines Carmona-Barrientos, Miriam Poza-Méndez:
Self-management in heart failure using mHealth: A content validation. 104986
- Abdullah Shuab, Michal Krakowiak, Tomasz Szmuda:
The quality and reliability analysis of YouTube videos about insulin resistance. 104987
- Rajae Touzani, Emilien Schultz, Stéphanie Vandentorren, Pierre Arwidson, Francis Guillemin, Anne-Déborah Bouhnik, Alexandra Rouquette, Julien Mancini:
Digital contact tracing during the COVID-19 pandemic in France: Associated factors and reasons for non-use. 104994 - Erika Jarva, Anne Oikarinen, J. Andersson, Marco Tomietto, Maria Kääriäinen, Kristina Mikkonen:
Healthcare professionals' digital health competence and its core factors; development and psychometric testing of two instruments. 104995 - Shahab A. Abdulla, Mohammed Diykh, Siuly Siuly, Mumtaz Ali:
An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification. 105001
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