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5616493 MACHINE LEARNING TO IDENTIFY CHILDREN WITH SICKLE CELL DISEASE AT VERY LOW HIGH RISK OF ABNORMAL OR CONDITIONAL TRANSCRANIAL DOPPLER SCREENING.
| 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/PMC10112627/ http://dx.doi.org/10.1097/01.HS9.0000928264.47647.e5 |
| _version_ | 1785027663126069248 |
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| author | McKinley, K.W.M. Nickel, R.N. Chamberlain, J.M.C. Campbell, A.C. Hyer, J.K.H. Linguraru, M.G.L. |
| author_facet | McKinley, K.W.M. Nickel, R.N. Chamberlain, J.M.C. Campbell, A.C. Hyer, J.K.H. Linguraru, M.G.L. |
| author_sort | McKinley, K.W.M. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10112627 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Lippincott Williams & Wilkins |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-101126272023-04-19 5616493 MACHINE LEARNING TO IDENTIFY CHILDREN WITH SICKLE CELL DISEASE AT VERY LOW HIGH RISK OF ABNORMAL OR CONDITIONAL TRANSCRANIAL DOPPLER SCREENING. McKinley, K.W.M. Nickel, R.N. Chamberlain, J.M.C. Campbell, A.C. Hyer, J.K.H. Linguraru, M.G.L. Hemasphere Poster Presentations Lippincott Williams & Wilkins 2023-04-10 /pmc/articles/PMC10112627/ http://dx.doi.org/10.1097/01.HS9.0000928264.47647.e5 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the European Hematology Association. 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 | Poster Presentations McKinley, K.W.M. Nickel, R.N. Chamberlain, J.M.C. Campbell, A.C. Hyer, J.K.H. Linguraru, M.G.L. 5616493 MACHINE LEARNING TO IDENTIFY CHILDREN WITH SICKLE CELL DISEASE AT VERY LOW HIGH RISK OF ABNORMAL OR CONDITIONAL TRANSCRANIAL DOPPLER SCREENING. |
| title | 5616493 MACHINE LEARNING TO IDENTIFY CHILDREN WITH SICKLE CELL DISEASE AT VERY LOW HIGH RISK OF ABNORMAL OR CONDITIONAL TRANSCRANIAL DOPPLER SCREENING. |
| title_full | 5616493 MACHINE LEARNING TO IDENTIFY CHILDREN WITH SICKLE CELL DISEASE AT VERY LOW HIGH RISK OF ABNORMAL OR CONDITIONAL TRANSCRANIAL DOPPLER SCREENING. |
| title_fullStr | 5616493 MACHINE LEARNING TO IDENTIFY CHILDREN WITH SICKLE CELL DISEASE AT VERY LOW HIGH RISK OF ABNORMAL OR CONDITIONAL TRANSCRANIAL DOPPLER SCREENING. |
| title_full_unstemmed | 5616493 MACHINE LEARNING TO IDENTIFY CHILDREN WITH SICKLE CELL DISEASE AT VERY LOW HIGH RISK OF ABNORMAL OR CONDITIONAL TRANSCRANIAL DOPPLER SCREENING. |
| title_short | 5616493 MACHINE LEARNING TO IDENTIFY CHILDREN WITH SICKLE CELL DISEASE AT VERY LOW HIGH RISK OF ABNORMAL OR CONDITIONAL TRANSCRANIAL DOPPLER SCREENING. |
| title_sort | 5616493 machine learning to identify children with sickle cell disease at very low high risk of abnormal or conditional transcranial doppler screening. |
| topic | Poster Presentations |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112627/ http://dx.doi.org/10.1097/01.HS9.0000928264.47647.e5 |
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