Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis
By B. Ambale-Venkatesh, Xiaoying Yang, C. Wu, Kiang Liu, W. Hundley, R. McClelland, A. Gomes, A. Folsom, S. Shea, Eliseo Guallar and 2 more. Circulation Research, 2017
534 citations recorded by the source corpus.
Subfields: Cardiology and Cardiovascular Medicine, Health Informatics, Immunology
View Paper: https://www.semanticscholar.org/paper/7582e26105e37fcf63ce21dc05734cf7878a268d
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In Cardiology and Cardiovascular Medicine
In Health Informatics
Citations in the corpus
- Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging. (2018, background): “…further prognosticate cardiovascular outcomes with the incorporation of anatomical and functional information from CT-based imaging, such as all-cause mortality 4 and cardiovascular events, 60 in addition to adding incremental prognostic information from traditional risk stratification modalities.”
- A tutorial on calibration measurements and calibration models for clinical prediction models (2020, methodology): “In this tutorial, we Brier score 44–46 < id="1124" data-dummy="list" list-type="none" > Easy calculation.”
- Precision Medicine, AI, and the Future of Personalized Health Care (2020, background): “73 When combined with personalized prevention strategies, 74,75 these models may positively impact disease incidence and sequela.”