Katalog der Deutschen Nationalbibliothek

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

20211 - 20220 von 20348

	20211	Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department Enthalten in BMC medical research methodology Bd. 21, 17.4.2021, Nr. 1, date:12.2021: 1-13
	20212	Utilizing machine learning for flow zone indicators prediction and hydraulic flow unit classification Enthalten in Scientific reports Bd. 14, 20.2.2024, Nr. 1, date:12.2024: 1-29
	20213	Utilizing machine learning in predicting yields of products in biomass thermochemical conversion processes Enthalten in Bioresources and Bioprocessing Bd. 12, 6.11.2025, Nr. 1, date:12.2025: 1-18
	20214	Utilizing machine learning models for predicting outcomes in acute pancreatitis: development and validation in three retrospective cohorts Enthalten in BMC medical informatics and decision making Bd. 25, 11.7.2025, Nr. 1, date:12.2025: 1-22
	20215	Utilizing machine learning to analyze trunk movement patterns in women with postpartum low back pain Enthalten in Scientific reports Bd. 14, 12.8.2024, Nr. 1, date:12.2024: 1-24
	20216	Utilizing machine learning to facilitate the early diagnosis of posterior circulation stroke Enthalten in BMC neurology Bd. 24, 7.5.2024, Nr. 1, date:12.2024: 1-12
	20217	Utilizing machine learning to identify fall predictors in India's aging population: findings from the LASI Enthalten in BMC geriatrics Bd. 25, 17.3.2025, Nr. 1, date:12.2025: 1-11
	20218	Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine) Enthalten in Scientific reports Bd. 15, 24.1.2025, Nr. 1, date:12.2025: 1-13
	20219	Utilizing machine learning to predict MRI signal outputs from iron oxide nanoparticles through the PSLG algorithm Enthalten in Scientific reports Bd. 15, 16.7.2025, Nr. 1, date:12.2025: 1-13
	20220	Utilizing machine learning to predict participant response to follow-up health surveys in the Millennium Cohort Study Enthalten in Scientific reports Bd. 14, 28.10.2024, Nr. 1, date:12.2024: 1-12