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Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study

; ; ;

In
Decision Support for Health Professionals

In
JMIR medical informatics 10(2), Seiten/Artikel-Nr.:e29978

ImpressumToronto : [Verlag nicht ermittelbar]

Umfang1-14

ISSN2291-9694

Online
DOI: 10.18154/RWTH-CONV-250610
DOI: 10.2196/29978

URL: https://publications.rwth-aachen.de/record/943063/files/943063.pdf

Einrichtungen

  1. Institut und Lehrstuhl für Medizinische Informatik (526500-2)
  2. Transfusionsmedizin (9670009)


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Dokumenttyp
Journal Article/Contribution to a book

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85124177243
WOS Core Collection: WOS:000767356300006
PubMed: pmid:35103612

Interne Identnummern
RWTH-CONV-250610
Datensatz-ID: 943063

Beteiligte Länder
Germany

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Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Dissertation / PhD Thesis  ;  ;
Reduction of platelet outdating and shortage by forecasting demand with statistical learning and deep neural networks : modeling study
Aachen 14 Seiten : Illustrationen, Diagramme () = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2022  GO BibTeX | EndNote: XML, Text | RIS


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The record appears in these collections:
Document types > Books > Contributions to a book
Document types > Articles > Journal Articles
Publication server / Open Access
Faculty of Medicine (Fac.10)
Public records
526500\-2
University Hospital
Publications database
9670009

 Record created 2023-02-10, last modified 2025-05-15


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