Radiomics-based machine learning models in STEMI: a promising tool for the prediction of major adverse cardiac events
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-09394-6.pdf
Reference19 articles.
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3. Bradshaw P, Ko DT, Newman AM et al (2006) Validity of the GRACE (Global Registry of Acute Coronary Events) acute coronary syndrome prediction model for six month post-discharge death in an independent data set. Heart 92:905–909. https://doi.org/10.1136/HRT.2005.073122
4. Eagle KA, Lim MJ, Dabbous OH et al (2004) A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6-month postdischarge death in an ınternational registry. JAMA 291:2727–2733. https://doi.org/10.1001/JAMA.291.22.2727
5. Ibanez B, Aletras AH, Arai AE et al (2019) Cardiac MRI endpoints in myocardial ınfarction experimental and clinical trials: JACC Scientific Expert Panel. J Am Coll Cardiol 74:238–256. https://doi.org/10.1016/J.JACC.2019.05.024
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