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...

Descripción completa

Detalles Bibliográficos
Autores principales: Das, Ritankar, Wales, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2017
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5541539/
https://www.ncbi.nlm.nih.gov/pubmed/28791144
http://dx.doi.org/10.1098/rsos.170175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5541539/
https://www.ncbi.nlm.nih.gov/pubmed/28791144
http://dx.doi.org/10.1098/rsos.170175

Ejemplares similares