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P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC SCORE COMPARED TO IPSS IN THE SETTING OF MYELOFIBROSIS PATIENTS TREATED WITH RUXOLITINIB
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431325/ http://dx.doi.org/10.1097/01.HS9.0000971084.17982.f2 |
| _version_ | 1785091174453739520 |
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| author | Duminuco, Andrea Mosquera-Orgueira, Adrian Nardo, Antonella Raimondo, Francesco DI Palumbo, Giuseppe |
| author_facet | Duminuco, Andrea Mosquera-Orgueira, Adrian Nardo, Antonella Raimondo, Francesco DI Palumbo, Giuseppe |
| author_sort | Duminuco, Andrea |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10431325 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Lippincott Williams & Wilkins |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-104313252023-08-17 P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC SCORE COMPARED TO IPSS IN THE SETTING OF MYELOFIBROSIS PATIENTS TREATED WITH RUXOLITINIB Duminuco, Andrea Mosquera-Orgueira, Adrian Nardo, Antonella Raimondo, Francesco DI Palumbo, Giuseppe Hemasphere Posters Lippincott Williams & Wilkins 2023-08-08 /pmc/articles/PMC10431325/ http://dx.doi.org/10.1097/01.HS9.0000971084.17982.f2 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access Abstract Book distributed under the Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) which allows third parties to download the articles and share them with others as long as they credit the author and the Abstract Book, but they cannot change the content in any way or use them commercially. |
| spellingShingle | Posters Duminuco, Andrea Mosquera-Orgueira, Adrian Nardo, Antonella Raimondo, Francesco DI Palumbo, Giuseppe P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC SCORE COMPARED TO IPSS IN THE SETTING OF MYELOFIBROSIS PATIENTS TREATED WITH RUXOLITINIB |
| title | P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC SCORE COMPARED TO IPSS IN THE SETTING OF MYELOFIBROSIS PATIENTS TREATED WITH RUXOLITINIB |
| title_full | P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC SCORE COMPARED TO IPSS IN THE SETTING OF MYELOFIBROSIS PATIENTS TREATED WITH RUXOLITINIB |
| title_fullStr | P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC SCORE COMPARED TO IPSS IN THE SETTING OF MYELOFIBROSIS PATIENTS TREATED WITH RUXOLITINIB |
| title_full_unstemmed | P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC SCORE COMPARED TO IPSS IN THE SETTING OF MYELOFIBROSIS PATIENTS TREATED WITH RUXOLITINIB |
| title_short | P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC SCORE COMPARED TO IPSS IN THE SETTING OF MYELOFIBROSIS PATIENTS TREATED WITH RUXOLITINIB |
| title_sort | p1047: aipss-mf machine learning model as useful prognostic score compared to ipss in the setting of myelofibrosis patients treated with ruxolitinib |
| topic | Posters |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431325/ http://dx.doi.org/10.1097/01.HS9.0000971084.17982.f2 |
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