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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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| Publicado en: | R Soc Open Sci |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
The Royal Society Publishing
2017
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| Materias: | |
| Acceso en línea: | 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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