The Importance of Genetic and Clinical Data Features in Risk Stratification of Patients with Hypertrophic Cardiomyopathy
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50755-7_7
Reference8 articles.
1. Maron, B.J., Maron, M.S.: Hypertrophic cardiomyopathy. Lancet 381(9862), 242–255 (2013)
2. Virmani, R., Burke, A.P., Farb, A.: Sudden Cardiac Death. Cardiovasc Pathol 10(5), 211–218 (2001)
3. Smole, T., et al.: A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. Comput. Biol. Med. 135, 104648 (2021)
4. Kochav, S.M., et al.: Predicting the development of adverse cardiac events in patients with hypertrophic cardiomyopathy using machine learning. Int. J. Cardiol. 327, 117–124 (2021)
5. João, B.A., et al.: Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance. Lancet Digit. Health 3(1), 20–28 (2021)
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