Identification of out-of-hospital cardiac arrest clusters using unsupervised learning

Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association

(2022) Connie W. Tsao et al.   CIRCULATION

Clustering with Missing Features: A Density-Based Approach

(2022) Kun Gao et al.   Symmetry-Basel

Effects of Smart Advanced Life Support protocol implementation including CPR coaching during out-of-hospital cardiac arrest

(2022) Gi Woon Kim et al.   AMERICAN JOURNAL OF EMERGENCY MEDICINE

Spatiotemporal analysis of out-of-hospital cardiac arrest in the City of Los Angeles, 2011–2019

(2021) Douglas Fleming et al.   RESUSCITATION

Part 3: Adult Basic and Advanced Life Support: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care

(2020) Ashish R. Panchal et al.   CIRCULATION

Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement

(2020) Angelo Auricchio et al.   PLoS One

Clustering with missing features: a penalized dissimilarity measure based approach

(2018) Shounak Datta et al.   MACHINE LEARNING

Regions of High Out-Of-Hospital Cardiac Arrest Incidence and Low Bystander CPR Rates in Victoria, Australia

(2015) Lahn D. Straney et al.   PLoS One

Multiple cluster analysis for the identification of high-risk census tracts for out-of-hospital cardiac arrest (OHCA) in Denver, Colorado

(2014) Ariann F. Nassel et al.   RESUSCITATION

Identifying High-risk Geographic Areas for Cardiac Arrest Using Three Methods for Cluster Analysis

(2012) Comilla Sasson et al.   ACADEMIC EMERGENCY MEDICINE

Tertiary centres have improved survival compared to other hospitals in the Copenhagen area after out-of-hospital cardiac arrest

(2012) Helle Søholm et al.   RESUSCITATION

A Bias Correction Algorithm for the Gini Variable Importance Measure in Classification Trees

(2008) Marco Sandri et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS