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Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients
| Autores principales: | , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4191162/ http://dx.doi.org/10.1186/1546-0096-12-S1-P176 |
| _version_ | 1782338601507356672 |
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| author | Consolaro, Alessandro Bovis, Francesca Alexeeva, Ekaterina Panaviene, Violeta Anton, Jordi Nielsen, Susan Susic, Gordana Trachana, Maria Herlin, Troels Wulffraat, Nico Dolezalova, Pavla Uziel, Yosef Shafaie, Nahid Rumba-Rozenfelde, Ingrida Stanevicha, Valda Ruperto, Nicolino Lovell, Daniel Ravelli, Angelo Martini, Alberto |
| author_facet | Consolaro, Alessandro Bovis, Francesca Alexeeva, Ekaterina Panaviene, Violeta Anton, Jordi Nielsen, Susan Susic, Gordana Trachana, Maria Herlin, Troels Wulffraat, Nico Dolezalova, Pavla Uziel, Yosef Shafaie, Nahid Rumba-Rozenfelde, Ingrida Stanevicha, Valda Ruperto, Nicolino Lovell, Daniel Ravelli, Angelo Martini, Alberto |
| author_sort | Consolaro, Alessandro |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-4191162 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2014 |
| publisher | BioMed Central |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-41911622014-11-05 Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients Consolaro, Alessandro Bovis, Francesca Alexeeva, Ekaterina Panaviene, Violeta Anton, Jordi Nielsen, Susan Susic, Gordana Trachana, Maria Herlin, Troels Wulffraat, Nico Dolezalova, Pavla Uziel, Yosef Shafaie, Nahid Rumba-Rozenfelde, Ingrida Stanevicha, Valda Ruperto, Nicolino Lovell, Daniel Ravelli, Angelo Martini, Alberto Pediatr Rheumatol Online J Poster Presentation BioMed Central 2014-09-17 /pmc/articles/PMC4191162/ http://dx.doi.org/10.1186/1546-0096-12-S1-P176 Text en Copyright © 2014 Consolaro et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
| spellingShingle | Poster Presentation Consolaro, Alessandro Bovis, Francesca Alexeeva, Ekaterina Panaviene, Violeta Anton, Jordi Nielsen, Susan Susic, Gordana Trachana, Maria Herlin, Troels Wulffraat, Nico Dolezalova, Pavla Uziel, Yosef Shafaie, Nahid Rumba-Rozenfelde, Ingrida Stanevicha, Valda Ruperto, Nicolino Lovell, Daniel Ravelli, Angelo Martini, Alberto Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients |
| title | Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients |
| title_full | Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients |
| title_fullStr | Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients |
| title_full_unstemmed | Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients |
| title_short | Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients |
| title_sort | nearly 20% of children are not correctly classified according to current ilar classification in a printo dataset of more than 12,000 juvenile idiopathic arthritis patients |
| topic | Poster Presentation |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4191162/ http://dx.doi.org/10.1186/1546-0096-12-S1-P176 |
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