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

19041 - 19050 von 19170

	19041	Utilizing machine learning-based QSAR model to overcome standalone consensus docking limitation in beta-lactamase inhibitors screening: a proof-of-concept study Enthalten in BMC chemistry Bd. 18, 20.12.2024, Nr. 1, date:12.2024: 1-16
	19042	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
	19043	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
	19044	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
	19045	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
	19046	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
	19047	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
	19048	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
	19049	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
	19050	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