Cardiorespiratory instability in monitored step-down unit patients: using cluster analysis to identify patterns of change

Cardiorespiratory instability (CRI) in monitored step-down unit (SDU) patients has a variety of etiologies, and likely manifests in patterns of vital signs (VS) changes. We explored use of clustering techniques to identify patterns in the initial CRI epoch (CRI 1 ; first exceedances of VS beyond sta...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of clinical monitoring and computing 2018-02, Vol.32 (1), p.117-126
Hauptverfasser:	Bose, Eliezer L., Clermont, Gilles, Chen, Lujie, Dubrawski, Artur W., Ren, Dianxu, Hoffman, Leslie A., Pinsky, Michael R., Hravnak, Marilyn
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Anesthesiology Clinical decision making Cluster Analysis Clustering Clusters Cohort Studies Comorbidity Critical Care - methods Critical Care Medicine Decision making Etiology Female Health Sciences Heart Rate Hospitalization Humans Intensive Male Medicine Medicine & Public Health Middle Aged Monitoring, Physiologic - instrumentation Monitoring, Physiologic - methods Original Research Oximetry Patient Admission Patients Reproducibility of Results Respiratory Rate Signal Processing, Computer-Assisted Stability Stability analysis Statistics for Life Sciences Vector quantization Vital Signs
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!