Causality in digital medicine
Abstract Ben Glocker (an expert in machine learning for medical imaging, Imperial College London), Mirco Musolesi (a data science and digital health expert, University College London), Jonathan Richens (an expert in diagnostic machine learning models, Babylon Health) and Caroline Uhler (a computatio...
Guardado en:
Formato: | article |
---|---|
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/38bf2fd71ea84fca8993a7520df7b0c3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:38bf2fd71ea84fca8993a7520df7b0c3 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:38bf2fd71ea84fca8993a7520df7b0c32021-12-02T17:23:40ZCausality in digital medicine10.1038/s41467-021-25743-92041-1723https://doaj.org/article/38bf2fd71ea84fca8993a7520df7b0c32021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25743-9https://doaj.org/toc/2041-1723Abstract Ben Glocker (an expert in machine learning for medical imaging, Imperial College London), Mirco Musolesi (a data science and digital health expert, University College London), Jonathan Richens (an expert in diagnostic machine learning models, Babylon Health) and Caroline Uhler (a computational biology expert, MIT) talked to Nature Communications about their research interests in causality inference and how this can provide a robust framework for digital medicine studies and their implementation, across different fields of application.Nature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-6 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Science Q |
spellingShingle |
Science Q Causality in digital medicine |
description |
Abstract Ben Glocker (an expert in machine learning for medical imaging, Imperial College London), Mirco Musolesi (a data science and digital health expert, University College London), Jonathan Richens (an expert in diagnostic machine learning models, Babylon Health) and Caroline Uhler (a computational biology expert, MIT) talked to Nature Communications about their research interests in causality inference and how this can provide a robust framework for digital medicine studies and their implementation, across different fields of application. |
format |
article |
title |
Causality in digital medicine |
title_short |
Causality in digital medicine |
title_full |
Causality in digital medicine |
title_fullStr |
Causality in digital medicine |
title_full_unstemmed |
Causality in digital medicine |
title_sort |
causality in digital medicine |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/38bf2fd71ea84fca8993a7520df7b0c3 |
_version_ |
1718380961617412096 |