Cargando…
Personalized prediction of mode of cardiac death in heart failure using supervised machine learning in the context of cardiac innervation imaging
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873136/ https://www.ncbi.nlm.nih.gov/pubmed/32557155 http://dx.doi.org/10.1007/s12350-020-02215-z |
_version_ | 1784657398930079744 |
---|---|
author | Werner, Rudolf A. Derlin, Thorsten Bengel, Frank M. |
author_facet | Werner, Rudolf A. Derlin, Thorsten Bengel, Frank M. |
author_sort | Werner, Rudolf A. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8873136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-88731362022-03-02 Personalized prediction of mode of cardiac death in heart failure using supervised machine learning in the context of cardiac innervation imaging Werner, Rudolf A. Derlin, Thorsten Bengel, Frank M. J Nucl Cardiol Editorial Springer International Publishing 2020-06-17 2022 /pmc/articles/PMC8873136/ /pubmed/32557155 http://dx.doi.org/10.1007/s12350-020-02215-z Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Editorial Werner, Rudolf A. Derlin, Thorsten Bengel, Frank M. Personalized prediction of mode of cardiac death in heart failure using supervised machine learning in the context of cardiac innervation imaging |
title | Personalized prediction of mode of cardiac death in heart failure using supervised machine learning in the context of cardiac innervation imaging |
title_full | Personalized prediction of mode of cardiac death in heart failure using supervised machine learning in the context of cardiac innervation imaging |
title_fullStr | Personalized prediction of mode of cardiac death in heart failure using supervised machine learning in the context of cardiac innervation imaging |
title_full_unstemmed | Personalized prediction of mode of cardiac death in heart failure using supervised machine learning in the context of cardiac innervation imaging |
title_short | Personalized prediction of mode of cardiac death in heart failure using supervised machine learning in the context of cardiac innervation imaging |
title_sort | personalized prediction of mode of cardiac death in heart failure using supervised machine learning in the context of cardiac innervation imaging |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873136/ https://www.ncbi.nlm.nih.gov/pubmed/32557155 http://dx.doi.org/10.1007/s12350-020-02215-z |
work_keys_str_mv | AT wernerrudolfa personalizedpredictionofmodeofcardiacdeathinheartfailureusingsupervisedmachinelearninginthecontextofcardiacinnervationimaging AT derlinthorsten personalizedpredictionofmodeofcardiacdeathinheartfailureusingsupervisedmachinelearninginthecontextofcardiacinnervationimaging AT bengelfrankm personalizedpredictionofmodeofcardiacdeathinheartfailureusingsupervisedmachinelearninginthecontextofcardiacinnervationimaging |