Quantitative Prediction of SYNTAX Score for Cardiovascular Artery Disease Patients via the Inverse Problem Algorithm Technique as Artificial Intelligence Assessment in Diagnostics

The quantitative prediction of the SYNTAX score for cardiovascular artery disease patients using the inverse problem algorithm (IPA) technique in artificial intelligence was explored in this study. A 29-term semi-empirical formula was defined according to seven risk factors: (1) age, (2) mean arteri...

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Detalles Bibliográficos
Autores principales: Lin, Meng-Chiung, Tseng, Vincent S., Lin, Chih-Sheng, Chiu, Shao-Wen, Pan, Lung-Kwang, Pan, Lung-Fa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777487/
https://www.ncbi.nlm.nih.gov/pubmed/36553187
http://dx.doi.org/10.3390/diagnostics12123180

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777487/
https://www.ncbi.nlm.nih.gov/pubmed/36553187
http://dx.doi.org/10.3390/diagnostics12123180

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