Predicting Long-Term Mortality in TAVI Patients Using Machine Learning Techniques

J Cardiovasc Dev Dis

4 May May 2021 4 years ago
  • Penso M, Pepi M, Fusini L, Muratori M, Cefalù C, Mantegazza V, Gripari P, Ghulam Ali SG, Fabbiocchi F, Bartorelli AL, Tamborini G.
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Whereas transcatheter aortic valve implantation (TAVI) has become the gold standard for aortic valve stenosis treatment in high-risk patients, it has recently been extended to include intermediate risk patients. However, the mortality rate at 5 years is still elevated. The aim of the present study was to develop a novel machine learning (ML) approach able to identify the best predictors of 5-year mortality after TAVI among several clinical and echocardiographic variables, which may improve the long-term prognosis.

Reference

Penso M, Pepi M, Fusini L, Muratori M, Cefalù C, Mantegazza V, Gripari P, Ali SG, Fabbiocchi F, Bartorelli AL, Caiani EG, Tamborini G. Predicting Long-Term Mortality in TAVI Patients Using Machine Learning Techniques. J Cardiovasc Dev Dis 2021 Apr 16;8(4):44. doi: 10.3390/jcdd8040044.

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