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Machine learning for the prediction of preclinical airway management in injured patients: a registry-based trial
André Luckscheiter, Wolfgang Zink, Torsten Lohs, Johanna Eisenberger, Manfred Thiel, Tim Viergutz
Clin Exp Emerg Med. 2022;9(4):304-313.   Published online 2022 November 23    DOI: https://doi.org/10.15441/ceem.22.335

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Machine learning for the prediction of preclinical airway management in injured patients: a registry-based trial
Clinical and Experimental Emergency Medicine. 2022;9(4):304-313   Crossref logo
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Airway Management in Cervical Spine Injured Patients
Airway Management. 2014;157-175   Crossref logo
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Prediction of Airway Management of Trauma Patients Based on Machine Learning
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Improving clinical trial design using interpretable machine learning based prediction of early trial termination
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Sales Prediction Based on Machine Learning Scenarios
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Current status of emergency airway management for elderly patients in Korea: Multicentre study using the Korean Emergency Airway Management Registry
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Titanic Disaster Prediction Based on Machine Learning Algorithms
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Credit Card Default Prediction based on Machine Learning Techniques
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Stock Price Prediction of “Google” based on Machine Learning
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This metadata service is kindly provided by CrossRef from May 29, 2014. Clin Exp Emerg Med has participated in CrossRef Text and Data Mining service since October 29, 2014.