Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets

Schulz et al. systematically benchmark performance scaling with increasingly sophisticated prediction algorithms and with increasing sample size in reference machine-learning and biomedical datasets. Complicated nonlinear intervariable relationships remain largely inaccessible for predicting key phe...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Marc-Andre Schulz, B. T. Thomas Yeo, Joshua T. Vogelstein, Janaina Mourao-Miranada, Jakob N. Kather, Konrad Kording, Blake Richards, Danilo Bzdok
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/b1ee0d1de11c40d8869725556c90d89f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b1ee0d1de11c40d8869725556c90d89f
record_format	dspace
spelling	oai:doaj.org-article:b1ee0d1de11c40d8869725556c90d89f2021-12-02T18:53:15ZDifferent scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets10.1038/s41467-020-18037-z2041-1723https://doaj.org/article/b1ee0d1de11c40d8869725556c90d89f2020-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18037-zhttps://doaj.org/toc/2041-1723Schulz et al. systematically benchmark performance scaling with increasingly sophisticated prediction algorithms and with increasing sample size in reference machine-learning and biomedical datasets. Complicated nonlinear intervariable relationships remain largely inaccessible for predicting key phenotypes from typical brain scans.Marc-Andre SchulzB. T. Thomas YeoJoshua T. VogelsteinJanaina Mourao-MiranadaJakob N. KatherKonrad KordingBlake RichardsDanilo BzdokNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Marc-Andre Schulz B. T. Thomas Yeo Joshua T. Vogelstein Janaina Mourao-Miranada Jakob N. Kather Konrad Kording Blake Richards Danilo Bzdok Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
description	Schulz et al. systematically benchmark performance scaling with increasingly sophisticated prediction algorithms and with increasing sample size in reference machine-learning and biomedical datasets. Complicated nonlinear intervariable relationships remain largely inaccessible for predicting key phenotypes from typical brain scans.
format	article
author	Marc-Andre Schulz B. T. Thomas Yeo Joshua T. Vogelstein Janaina Mourao-Miranada Jakob N. Kather Konrad Kording Blake Richards Danilo Bzdok
author_facet	Marc-Andre Schulz B. T. Thomas Yeo Joshua T. Vogelstein Janaina Mourao-Miranada Jakob N. Kather Konrad Kording Blake Richards Danilo Bzdok
author_sort	Marc-Andre Schulz
title	Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
title_short	Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
title_full	Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
title_fullStr	Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
title_full_unstemmed	Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
title_sort	different scaling of linear models and deep learning in ukbiobank brain images versus machine-learning datasets
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/b1ee0d1de11c40d8869725556c90d89f
work_keys_str_mv	AT marcandreschulz differentscalingoflinearmodelsanddeeplearninginukbiobankbrainimagesversusmachinelearningdatasets AT btthomasyeo differentscalingoflinearmodelsanddeeplearninginukbiobankbrainimagesversusmachinelearningdatasets AT joshuatvogelstein differentscalingoflinearmodelsanddeeplearninginukbiobankbrainimagesversusmachinelearningdatasets AT janainamouraomiranada differentscalingoflinearmodelsanddeeplearninginukbiobankbrainimagesversusmachinelearningdatasets AT jakobnkather differentscalingoflinearmodelsanddeeplearninginukbiobankbrainimagesversusmachinelearningdatasets AT konradkording differentscalingoflinearmodelsanddeeplearninginukbiobankbrainimagesversusmachinelearningdatasets AT blakerichards differentscalingoflinearmodelsanddeeplearninginukbiobankbrainimagesversusmachinelearningdatasets AT danilobzdok differentscalingoflinearmodelsanddeeplearninginukbiobankbrainimagesversusmachinelearningdatasets
_version_	1718377347318546432

Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets

Ejemplares similares