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Machine learning landscapes and predictions for patient outcomes
The theory and computational tools developed to interpret and explore energy landscapes in molecular science are applied to the landscapes defined by local minima for neural networks. These machine learning landscapes correspond to fits of training data, where the inputs are vital signs and laborato...
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| Pubblicato in: | R Soc Open Sci |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
The Royal Society Publishing
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5541539/ https://ncbi.nlm.nih.gov/pubmed/28791144 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsos.170175 |
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