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Reduction of platelet outdating and shortage by forecasting demand with statistical learning and deep neural networks : modeling study
2022
Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2022
Genehmigende Fakultät
Fak10
Hauptberichter/Gutachter
;
Tag der mündlichen Prüfung/Habilitation
2022-10-31
Einrichtungen
Thematische Einordnung (Klassifikation)
DDC: 610
Kurzfassung
online nicht verfügbar
Dokumenttyp
Dissertation / PhD Thesis
Format
print
Sprache
English
Externe Identnummern
HBZ: HT021661992
Interne Identnummern
RWTH-2022-11191
Datensatz-ID: 856872
Beteiligte Länder
Germany
Related:
Journal Article/Contribution to a book
Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study
JMIR medical informatics 10(2), e29978 (2022) [10.2196/29978] special issue: "Decision Support for Health Professionals"
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