Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters

Background: Peripheral artery disease (PAD) is a significant burden, particularly among patients with severe disease requiring invasive treatment. We applied a general Machine Learning (ML) workflow and investigated if a multi-dimensional marker set of standard clinical parameters can identify patie...

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Detalles Bibliográficos
Autores principales: Sonnenschein, Kristina, Stojanović, Stevan D., Dickel, Nicholas, Fiedler, Jan, Bauersachs, Johann, Thum, Thomas, Kunz, Meik, Tongers, Jörn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533252/
https://www.ncbi.nlm.nih.gov/pubmed/34680572
http://dx.doi.org/10.3390/biomedicines9101456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533252/
https://www.ncbi.nlm.nih.gov/pubmed/34680572
http://dx.doi.org/10.3390/biomedicines9101456

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