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Correction to: Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study
| Autores principales: | , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349777/ https://www.ncbi.nlm.nih.gov/pubmed/37195486 http://dx.doi.org/10.1007/s00394-023-03174-0 |
| _version_ | 1785073992923611136 |
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| author | De Nucci, Sara Zupo, Roberta Donghia, Rossella Castellana, Fabio Lofù, Domenico Aresta, Simona Guerra, Vito Bortone, Ilaria Lampignano, Luisa De Pergola, Giovanni Lozupone, Madia Tatoli, Rossella Sborgia, Giancarlo Tirelli, Sarah Panza, Francesco Di Noia, Tommaso Sardone, Rodolfo |
| author_facet | De Nucci, Sara Zupo, Roberta Donghia, Rossella Castellana, Fabio Lofù, Domenico Aresta, Simona Guerra, Vito Bortone, Ilaria Lampignano, Luisa De Pergola, Giovanni Lozupone, Madia Tatoli, Rossella Sborgia, Giancarlo Tirelli, Sarah Panza, Francesco Di Noia, Tommaso Sardone, Rodolfo |
| author_sort | De Nucci, Sara |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10349777 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Springer Berlin Heidelberg |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-103497772023-07-17 Correction to: Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study De Nucci, Sara Zupo, Roberta Donghia, Rossella Castellana, Fabio Lofù, Domenico Aresta, Simona Guerra, Vito Bortone, Ilaria Lampignano, Luisa De Pergola, Giovanni Lozupone, Madia Tatoli, Rossella Sborgia, Giancarlo Tirelli, Sarah Panza, Francesco Di Noia, Tommaso Sardone, Rodolfo Eur J Nutr Correction Springer Berlin Heidelberg 2023-05-17 2023 /pmc/articles/PMC10349777/ /pubmed/37195486 http://dx.doi.org/10.1007/s00394-023-03174-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/ Open Access This 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 | Correction De Nucci, Sara Zupo, Roberta Donghia, Rossella Castellana, Fabio Lofù, Domenico Aresta, Simona Guerra, Vito Bortone, Ilaria Lampignano, Luisa De Pergola, Giovanni Lozupone, Madia Tatoli, Rossella Sborgia, Giancarlo Tirelli, Sarah Panza, Francesco Di Noia, Tommaso Sardone, Rodolfo Correction to: Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study |
| title | Correction to: Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study |
| title_full | Correction to: Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study |
| title_fullStr | Correction to: Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study |
| title_full_unstemmed | Correction to: Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study |
| title_short | Correction to: Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study |
| title_sort | correction to: dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the salus in apulia study |
| topic | Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349777/ https://www.ncbi.nlm.nih.gov/pubmed/37195486 http://dx.doi.org/10.1007/s00394-023-03174-0 |
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