Katalog der Deutschen Nationalbibliothek

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

34811 - 34820 von 35096

	34811	Using machine learning to predict outcomes following transcarotid artery revascularization Enthalten in Scientific reports Bd. 15, 31.1.2025, Nr. 1, date:12.2025: 1-18
	34812	Using machine learning to predict processes and morphometric features of watershed Enthalten in Scientific reports Bd. 13, 25.5.2023, Nr. 1, date:12.2023: 1-17
	34813	Using machine learning to predict protein–protein interactions between a zombie ant fungus and its carpenter ant host Enthalten in Scientific reports Bd. 13, 24.8.2023, Nr. 1, date:12.2023: 1-16
	34814	Using Machine Learning to Predict Sensorineural Hearing Loss Based on Perilymph Micro RNA Expression Profile Enthalten in Scientific reports Bd. 9, 4.3.2019, Nr. 1, date:12.2019: 1-11
	34815	Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics Enthalten in Scientific reports Bd. 13, 7.4.2023, Nr. 1, date:12.2023: 1-16
	34816	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
	34817	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
	34818	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
	34819	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
	34820	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