Machine Learning for Prediction of Technical Results of Percutaneous Coronary Intervention for Chronic Total Occlusion

(1) Background: The probability of technical success in percutaneous coronary intervention (PCI) for chronic total occlusion (CTO) represents essential information for specifying the priority of PCI for treatment selection in patients with CTO. However, the predictabilities of existing scores based...

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Detalles Bibliográficos
Autores principales: Nakachi, Tatsuya, Yamane, Masahisa, Kishi, Koichi, Muramatsu, Toshiya, Okada, Hisayuki, Oikawa, Yuji, Yoshikawa, Ryohei, Kawasaki, Tomohiro, Tanaka, Hiroyuki, Katoh, Osamu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218988/
https://www.ncbi.nlm.nih.gov/pubmed/37240464
http://dx.doi.org/10.3390/jcm12103354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218988/
https://www.ncbi.nlm.nih.gov/pubmed/37240464
http://dx.doi.org/10.3390/jcm12103354

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