Machine Learning Enables Prediction of Cardiac Amyloidosis by Routine Laboratory Parameters: A Proof-of-Concept Study

(1) Background: Cardiac amyloidosis (CA) is a rare and complex condition with poor prognosis. While novel therapies improve outcomes, many affected individuals remain undiagnosed due to a lack of awareness among clinicians. This study was undertaken to develop an expert-independent machine learning...

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Detalles Bibliográficos
Autores principales: Agibetov, Asan, Seirer, Benjamin, Dachs, Theresa-Marie, Koschutnik, Matthias, Dalos, Daniel, Rettl, René, Duca, Franz, Schrutka, Lore, Agis, Hermine, Kain, Renate, Auer-Grumbach, Michela, Binder, Christina, Mascherbauer, Julia, Hengstenberg, Christian, Samwald, Matthias, Dorffner, Georg, Bonderman, Diana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290438/
https://www.ncbi.nlm.nih.gov/pubmed/32375287
http://dx.doi.org/10.3390/jcm9051334

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290438/
https://www.ncbi.nlm.nih.gov/pubmed/32375287
http://dx.doi.org/10.3390/jcm9051334

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