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Opening the black box of neural networks: methods for interpreting neural network models in clinical applications
Artificial neural networks (ANNs) are powerful tools for data analysis and are particularly suitable for modeling relationships between variables for best prediction of an outcome. While these models can be used to answer many important research questions, their utility has been critically limited b...
Tallennettuna:
| Julkaisussa: | Ann Transl Med |
|---|---|
| Päätekijät: | , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
AME Publishing Company
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6035992/ https://ncbi.nlm.nih.gov/pubmed/30023379 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/atm.2018.05.32 |
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