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P1684: AUTOMATED METRICS FROM THE ELECTRONIC HEALTH RECORD ENABLE EVALUATION OF PALLIATIVE CARE IN PATIENTS WITH ACUTE MYELOID LEUKAEMIA: A DATA SCIENCE APPROACH
| 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/PMC10430290/ http://dx.doi.org/10.1097/01.HS9.0000973608.31234.84 |
| _version_ | 1785090927520382976 |
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| author | Steel, Matthew Houston, Hamish Dutey-Magni, Peter Collis, Emily Wong, Wai Keong Wilson, Andrew |
| author_facet | Steel, Matthew Houston, Hamish Dutey-Magni, Peter Collis, Emily Wong, Wai Keong Wilson, Andrew |
| author_sort | Steel, Matthew |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10430290 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Lippincott Williams & Wilkins |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-104302902023-08-17 P1684: AUTOMATED METRICS FROM THE ELECTRONIC HEALTH RECORD ENABLE EVALUATION OF PALLIATIVE CARE IN PATIENTS WITH ACUTE MYELOID LEUKAEMIA: A DATA SCIENCE APPROACH Steel, Matthew Houston, Hamish Dutey-Magni, Peter Collis, Emily Wong, Wai Keong Wilson, Andrew Hemasphere Posters Lippincott Williams & Wilkins 2023-08-08 /pmc/articles/PMC10430290/ http://dx.doi.org/10.1097/01.HS9.0000973608.31234.84 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 Steel, Matthew Houston, Hamish Dutey-Magni, Peter Collis, Emily Wong, Wai Keong Wilson, Andrew P1684: AUTOMATED METRICS FROM THE ELECTRONIC HEALTH RECORD ENABLE EVALUATION OF PALLIATIVE CARE IN PATIENTS WITH ACUTE MYELOID LEUKAEMIA: A DATA SCIENCE APPROACH |
| title | P1684: AUTOMATED METRICS FROM THE ELECTRONIC HEALTH RECORD ENABLE EVALUATION OF PALLIATIVE CARE IN PATIENTS WITH ACUTE MYELOID LEUKAEMIA: A DATA SCIENCE APPROACH |
| title_full | P1684: AUTOMATED METRICS FROM THE ELECTRONIC HEALTH RECORD ENABLE EVALUATION OF PALLIATIVE CARE IN PATIENTS WITH ACUTE MYELOID LEUKAEMIA: A DATA SCIENCE APPROACH |
| title_fullStr | P1684: AUTOMATED METRICS FROM THE ELECTRONIC HEALTH RECORD ENABLE EVALUATION OF PALLIATIVE CARE IN PATIENTS WITH ACUTE MYELOID LEUKAEMIA: A DATA SCIENCE APPROACH |
| title_full_unstemmed | P1684: AUTOMATED METRICS FROM THE ELECTRONIC HEALTH RECORD ENABLE EVALUATION OF PALLIATIVE CARE IN PATIENTS WITH ACUTE MYELOID LEUKAEMIA: A DATA SCIENCE APPROACH |
| title_short | P1684: AUTOMATED METRICS FROM THE ELECTRONIC HEALTH RECORD ENABLE EVALUATION OF PALLIATIVE CARE IN PATIENTS WITH ACUTE MYELOID LEUKAEMIA: A DATA SCIENCE APPROACH |
| title_sort | p1684: automated metrics from the electronic health record enable evaluation of palliative care in patients with acute myeloid leukaemia: a data science approach |
| topic | Posters |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430290/ http://dx.doi.org/10.1097/01.HS9.0000973608.31234.84 |
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