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Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortality

While deep neural networks (DNNs) and other machine learning models often have higher accuracy than simpler models like logistic regression (LR), they are often considered to be “black box” models and this lack of interpretability and transparency is considered a challenge for clinical adoption. In...

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Foilsithe in:NPJ Digit Med
Main Authors: Lee, Christine K., Samad, Muntaha, Hofer, Ira, Cannesson, Maxime, Baldi, Pierre
Formáid: Artigo
Teanga:Inglês
Foilsithe: Nature Publishing Group UK 2021
Ábhair:
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7794438/
https://ncbi.nlm.nih.gov/pubmed/33420341
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-020-00377-1
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