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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

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Artikel 32761 Using machine learning to predict the risk of short-term and long-term death in acute kidney injury patients after commencing CRRT
Enthalten in BMC nephrology Bd. 25, 30.7.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 32762 Using machine learning to predict venous thromboembolism and major bleeding events following total joint arthroplasty
Enthalten in Scientific reports Bd. 13, 7.2.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 32763 Using Machine Learning to Score Multi-Dimensional Assessments of Chemistry and Physics
Enthalten in Journal of science education and technology Bd. 30, 26.3.2021, Nr. 2, date:4.2021: 239-254
Online Ressource
Artikel 32764 Using machine learning to simultaneously quantify multiple cognitive components of episodic memory
Enthalten in Nature Communications Bd. 16, 24.3.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 32765 Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing C. elegans embryo
Enthalten in BMC bioinformatics Bd. 11, 11.2.2010, Nr. 1, date:12.2010: 1-13
Online Ressource
Artikel 32766 Using machine learning to translate tumor dependencies
Enthalten in Nature cancer Bd. 5, 23.7.2024, Nr. 8, date:8.2024: 1141-1142
Online Ressource
Artikel 32767 Using machine learning to understand social isolation and loneliness in schizophrenia, bipolar disorder, and the community
Enthalten in Schizophrenia Bd. 10, 5.10.2024, Nr. 1, date:12.2024: 1-8
Online Ressource
Artikel 32768 Using machine learning to understand the temporal morphology of the PM2.5 annual cycle in East Asia
Enthalten in Environmental monitoring and assessment Bd. 191, 28.6.2019, Nr. 2, date:6.2019: 1-14
Online Ressource
Artikel 32769 Using machine learning tools for protein database biocuration assistance
Enthalten in Scientific reports Bd. 8, 5.7.2018, Nr. 1, date:12.2018: 1-10
Online Ressource
Artikel 32770 Using machine learning tools to predict outcomes for emergency department intensive care unit patients
Enthalten in Scientific reports Bd. 10, 1.12.2020, Nr. 1, date:12.2020: 1-10
Online Ressource


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