Research map: On a vectorcardiographic machine-learning approach to cardiology triage: target definition, calibration, and clinical utility

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Papers in this map

  1. Decision Curve Analysis: A Novel Method for Evaluating Prediction Models · Andrew Julian Vickers · 2006 · 6232 citations · Cited by this paper
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  7. Calculating the sample size required for developing a clinical prediction model · Richard D Riley · 2020 · 2858 citations · Cited by this paper
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  9. Calibration: the Achilles heel of predictive analytics · On behalf of Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative · 2019 · 2416 citations · Cited by this paper
  10. Effects of point-of-care ultrasonography on clinical decisions for suspected hypervolemia: a cross-sectional study of two independent samples · 2026 · Related
  11. A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models · Evangelia F. CHRISTODOULOU · 2019 · 2140 citations · Cited by this paper
  12. GSDMD/Caspase-1-based evaluation of dydrogesterone in preventing recurrence after hysteroscopic endometrial polypectomy · 2026 · Related
  13. Prediction models need appropriate internal, internal–external, and external validation · Ewout Willem Steyerberg · 2015 · 1293 citations · Cited by this paper
  14. Correlations between endocrine-metabolic characteristics and body fat distribution, appetite, growth, and memory in children with Prader-Willi syndrome · 2026 · Related
  15. Enhancing tertiary cardiology triage with vectorcardiographic features: a machine learning approach using real-world data · Lucas José da Costa · 2026 · 1 citation · Cited by this paper
  16. HDL-C as a potential mediator between serum 25(OH)D and the angiographic severity of coronary artery disease: a single-center cross-sectional study · 2026 · Related
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