Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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16511 - 16520 von 16668

	16511	Using machine learning to predict subsequent events after EMS non-conveyance decisions Enthalten in BMC medical informatics and decision making Bd. 22, 23.6.2022, Nr. 1, date:12.2022: 1-12
	16512	Using machine learning to predict the probability of incident 2-year depression in older adults with chronic diseases: a retrospective cohort study Enthalten in BMC psychiatry Bd. 24, 2.12.2024, Nr. 1, date:12.2024: 1-11
	16513	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
	16514	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
	16515	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
	16516	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
	16517	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
	16518	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
	16519	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
	16520	Using machine learning with case studies to identify practices that reduce greenhouse gas emissions across Australian grain production regions Enthalten in Agronomy for sustainable development Bd. 43, 20.3.2023, Nr. 2, date:4.2023: 1-11