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

J Cardiovasc Dev Dis

4 May May 2021 10 days ago
  • Penso M, Pepi M, Fusini L, Muratori M, Cefalù C, Mantegazza V, Gripari P, Ghulam Ali SG, Fabbiocchi F, Bartorelli AL, Tamborini G.

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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