Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome

State-of-the-art machine learning (ML) artificial intelligence methods are increasingly leveraged in clinical predictive modeling to provide clinical decision support systems to physicians. Modern ML approaches such as artificial neural networks (ANNs) and tree boosting often perform better than mor...

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Detalles Bibliográficos
Autores principales: Zihni, Esra, Madai, Vince Istvan, Livne, Michelle, Galinovic, Ivana, Khalil, Ahmed A., Fiebach, Jochen B., Frey, Dietmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7135268/
https://www.ncbi.nlm.nih.gov/pubmed/32251471
http://dx.doi.org/10.1371/journal.pone.0231166

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7135268/
https://www.ncbi.nlm.nih.gov/pubmed/32251471
http://dx.doi.org/10.1371/journal.pone.0231166

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