Abstract 16310: Derivation of a Cardiac Arrest Prediction Model Using Ward Vital Signs

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AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records (2020, background): “Churpek et al [4] also suggested that a simple and parsimonious model can be applied at the bedside and easily validated across different hospitals.”
Coarse race data conceals disparities in clinical risk score performance (2023, methodology): “These outcomes are the subject of much prior work in emergency medicine and all relate to providing efficient, well-tailored patient care (Sun et al., 2011; Hong et al., 2018; Churpek et al., 2012; Martin-Gill and Reiser, 2004; Pellerin et al., 2018); more context is provided in Appendix A.3.”
The Importance of Respiratory Rate Monitoring: From Healthcare to Sport and Exercise (2020, background): “In this model, progressively higher scores are attributed to f R values > 20 breaths/min, with the highest score assigned to values > 29 breaths/min [2].”