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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...
Autores principales: | Nakachi, Tatsuya, Yamane, Masahisa, Kishi, Koichi, Muramatsu, Toshiya, Okada, Hisayuki, Oikawa, Yuji, Yoshikawa, Ryohei, Kawasaki, Tomohiro, Tanaka, Hiroyuki, Katoh, Osamu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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