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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Gepubliceerd in:PLoS One
Hoofdauteurs: Zihni, Esra, Madai, Vince Istvan, Livne, Michelle, Galinovic, Ivana, Khalil, Ahmed A., Fiebach, Jochen B., Frey, Dietmar
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Public Library of Science 2020
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Research Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7135268/
https://ncbi.nlm.nih.gov/pubmed/32251471
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0231166
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