Evaluating non-linear thresholds and synergistic interactions in the comorbidity of preoperative insomnia and emergence agitation: a SHAP-based machine learning study.
Frontiers in neurology · 2026
Abstract e pubblicazione originale
L’abstract è consultabile nella fonte originale. Non viene ripubblicato qui perché non risulta verificata una licenza compatibile.
Leggi nella fonte originale ↗Parole chiave
HumansFemaleSleep Initiation and Maintenance DisordersRetrospective StudiesComorbidityMachine LearningMaleMiddle AgedBoosting Machine Learning AlgorithmsAgedPsychomotor AgitationAdultPreoperative PeriodPredictive Learning ModelsNonlinear DynamicsSHAPcomorbidityemergence agitationmachine learningpreoperative insomnia
Come citare questo studio
Jianheng Zhao, Xiaoxu Yu, Bangjian Zhang, Mengying Wang, Xiaoyan Yang. (2026). Evaluating non-linear thresholds and synergistic interactions in the comorbidity of preoperative insomnia and emergence agitation: a SHAP-based machine learning study.. Frontiers in neurology. DOI: 10.3389/fneur.2026.1875540
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