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Machine Learning Based Prediction of One Year Mortality after Allogeneic Hematopoietic Cell Transplantation (alloHCT) Highlights Importance of Pre-Transplant Immunocompetence

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenz-Abstract
Zitierlink: https://opus.hs-offenburg.de/10083
Bibliografische Angaben
Title (English):Machine Learning Based Prediction of One Year Mortality after Allogeneic Hematopoietic Cell Transplantation (alloHCT) Highlights Importance of Pre-Transplant Immunocompetence
Conference:ASH Annual Meeting and Exposition (66. : December 7-10, 2024 : San Diego, USA)
Author:Thomas Meyer, Robert Meyer, Daniela OelkeStaff MemberORCiDGND, Ralph Wäsch, Justus Duyster, Jürgen Finke, Robert Zeiser, Claudia Wehr
Date of Publication (online):2024/11/05
Contributing Corporation:American Society of Hematology
Publisher:Elsevier
Page Number:2
First Page:106
Last Page:107
Parent Title (German):Blood : 66th ASH Annual Meeting Abstracts
Volume:144
Issue:Supplement 1
ISSN:1528-0020
DOI:https://doi.org/10.1182/blood-2024-199021
URL:https://ash.confex.com/ash/2024/webprogram/Paper199021.html
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Collections of the Offenburg University:Bibliografie
GND Keyword:Künstliche IntelligenzGND
Tag:Artificial Intelligence; Clinical Research; Health outcomes research; Machine learning; Survivorship
Formale Angaben
Relevance for "Jahresbericht über Forschungsleistungen":Keine Relevanz
Open Access: Open Access 
 Diamond 
Licence (German):License LogoUrheberrechtlich geschützt