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Critical Care, Digital health & Informatics
Current challenges in adopting machine learning to critical care and emergency medicine
Cyra-Yoonsun Kang, Joo Heung Yoon
Clin Exp Emerg Med. 2023;10(2):132-137.   Published online May 15, 2023
DOI: https://doi.org/10.15441/ceem.23.041
                                 Cited By 2
Digital health & Informatics, Nursing
Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integration
Soyun Shim, Jae Yong Yu, Seyong Jekal, Yee Jun Song, Ki Tae Moon, Ju Hee Lee, Kyung Mi Yeom, Sook Hyun Park, In Sook Cho, Mi Ra Song, Sejin Heo, Jeong Hee Hong
Clin Exp Emerg Med. 2022;9(4):345-353.   Published online September 21, 2022
DOI: https://doi.org/10.15441/ceem.22.354
                              
Airway
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 November 23, 2022
DOI: https://doi.org/10.15441/ceem.22.335
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