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Enhancing the clinical relevance of haemorrhage prediction models in trauma
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作者 Sankalp Tandle Jared M.Wohlgemut +6 位作者 Max E.R.Marsden Erhan Pisirir Evangelia Kyrimi Rebecca S.Stoner William Marsh zane b.perkins Nigel R.M.Tai 《Military Medical Research》 SCIE CAS CSCD 2024年第3期467-468,共2页
We read with interest the recent systematic reviewaArtificial intelligence and machine learning for hemorrhagic trauma careoby Peng et al.[1],which evaluated literature on machine learning(ML)in the management of trau... We read with interest the recent systematic reviewaArtificial intelligence and machine learning for hemorrhagic trauma careoby Peng et al.[1],which evaluated literature on machine learning(ML)in the management of traumatic haemorrhage.We thank the authors for their contribution to the role of ML in trauma. 展开更多
关键词 TRAUMA INJURY Blood transfusion Massive transfusion PREDICTION Artificial intelligence Machine learning
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