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PB1855: USE OF MACHINE LEARNING MODEL TO IDENTIFY PATIENTS RECEIVING OPTIMAL TREATMENT AND THE ASSOCIATED NON-BIOLOGICAL FACTORS: A POPULATION-BASED STUDY
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/PMC10430356/ http://dx.doi.org/10.1097/01.HS9.0000974256.32999.b9 |
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author | Atsou, Kueshivi Midodji Rachet, Bernard Maringe, Camille Cornet, Edouard Chretien, Marie Lorraine Rossi, Cedric Remontet, Laurent Roche, Laurent Giorgi, Roch Gauthier, Sophie Girard, Stéphanie Böckle, Johann Wasse, Stephane Rachou, Hélène Bouzid, Laila Poncet, Jean-Marc Orazio, Sébastien Monnereau, Alain Troussard, Xavier Maynadie, Marc |
author_facet | Atsou, Kueshivi Midodji Rachet, Bernard Maringe, Camille Cornet, Edouard Chretien, Marie Lorraine Rossi, Cedric Remontet, Laurent Roche, Laurent Giorgi, Roch Gauthier, Sophie Girard, Stéphanie Böckle, Johann Wasse, Stephane Rachou, Hélène Bouzid, Laila Poncet, Jean-Marc Orazio, Sébastien Monnereau, Alain Troussard, Xavier Maynadie, Marc |
author_sort | Atsou, Kueshivi Midodji |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10430356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-104303562023-08-17 PB1855: USE OF MACHINE LEARNING MODEL TO IDENTIFY PATIENTS RECEIVING OPTIMAL TREATMENT AND THE ASSOCIATED NON-BIOLOGICAL FACTORS: A POPULATION-BASED STUDY Atsou, Kueshivi Midodji Rachet, Bernard Maringe, Camille Cornet, Edouard Chretien, Marie Lorraine Rossi, Cedric Remontet, Laurent Roche, Laurent Giorgi, Roch Gauthier, Sophie Girard, Stéphanie Böckle, Johann Wasse, Stephane Rachou, Hélène Bouzid, Laila Poncet, Jean-Marc Orazio, Sébastien Monnereau, Alain Troussard, Xavier Maynadie, Marc Hemasphere Publication Only Lippincott Williams & Wilkins 2023-08-08 /pmc/articles/PMC10430356/ http://dx.doi.org/10.1097/01.HS9.0000974256.32999.b9 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 | Publication Only Atsou, Kueshivi Midodji Rachet, Bernard Maringe, Camille Cornet, Edouard Chretien, Marie Lorraine Rossi, Cedric Remontet, Laurent Roche, Laurent Giorgi, Roch Gauthier, Sophie Girard, Stéphanie Böckle, Johann Wasse, Stephane Rachou, Hélène Bouzid, Laila Poncet, Jean-Marc Orazio, Sébastien Monnereau, Alain Troussard, Xavier Maynadie, Marc PB1855: USE OF MACHINE LEARNING MODEL TO IDENTIFY PATIENTS RECEIVING OPTIMAL TREATMENT AND THE ASSOCIATED NON-BIOLOGICAL FACTORS: A POPULATION-BASED STUDY |
title | PB1855: USE OF MACHINE LEARNING MODEL TO IDENTIFY PATIENTS RECEIVING OPTIMAL TREATMENT AND THE ASSOCIATED NON-BIOLOGICAL FACTORS: A POPULATION-BASED STUDY |
title_full | PB1855: USE OF MACHINE LEARNING MODEL TO IDENTIFY PATIENTS RECEIVING OPTIMAL TREATMENT AND THE ASSOCIATED NON-BIOLOGICAL FACTORS: A POPULATION-BASED STUDY |
title_fullStr | PB1855: USE OF MACHINE LEARNING MODEL TO IDENTIFY PATIENTS RECEIVING OPTIMAL TREATMENT AND THE ASSOCIATED NON-BIOLOGICAL FACTORS: A POPULATION-BASED STUDY |
title_full_unstemmed | PB1855: USE OF MACHINE LEARNING MODEL TO IDENTIFY PATIENTS RECEIVING OPTIMAL TREATMENT AND THE ASSOCIATED NON-BIOLOGICAL FACTORS: A POPULATION-BASED STUDY |
title_short | PB1855: USE OF MACHINE LEARNING MODEL TO IDENTIFY PATIENTS RECEIVING OPTIMAL TREATMENT AND THE ASSOCIATED NON-BIOLOGICAL FACTORS: A POPULATION-BASED STUDY |
title_sort | pb1855: use of machine learning model to identify patients receiving optimal treatment and the associated non-biological factors: a population-based study |
topic | Publication Only |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430356/ http://dx.doi.org/10.1097/01.HS9.0000974256.32999.b9 |
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