Chest pain in the emergency room: value of the HEART score

By A. Six, B. Backus, J. C. Kelder. 2008

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How researchers see this paper

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Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges (2021, background): “Since then, many scoring systems have been designed for healthcare (Knaus et al., 1981, 1985, 1991; Bone et al., 1992; Le Gall et al., 1993; Antman et al., 2000; Gage et al., 2001; Moreno et al., 2005; Six et al., 2008; Weathers et al., 2013; Than et al., 2014).”
AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records (2020, methodology): “…or consensus, such as the Sepsis-related Organ Failure Assessment [5] score and the National Early Warning Score [6], and through the analysis of conventional cohort studies, such as the History, Electrocardiogram, Age, Risk factors, and Troponin score [7] and the Charlson Comorbidity Index [8].”
Learning Optimized Risk Scores (2016, methodology): “…in domains such as: • Medicine: to assess the risk of mortality in intensive care (e.g., Moreno et al., 2005), critical physical conditions (e.g., adverse cardiac events, Six et al., 2008; Than et al., 2014) and mental illnesses (e.g., adult ADHD in Kessler et al. 2005; Ustun et al. 2017).”