Katalog der Deutschen Nationalbibliothek

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

16211 - 16220 von 16412

	16211	Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU Enthalten in BMC medical informatics and decision making Bd. 20, 2.10.2020, Nr. 1, date:12.2020: 1-10
	16212	Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction Enthalten in Scientific reports Bd. 13, 22.12.2023, Nr. 1, date:12.2023: 1-13
	16213	Using machine learning models based on cardiac magnetic resonance parameters to predict the prognostic in children with myocarditis Enthalten in BMC pediatrics Bd. 25, 24.5.2025, Nr. 1, date:12.2025: 1-12
	16214	Using machine learning models to improve stroke risk level classification methods of China national stroke screening Enthalten in BMC medical informatics and decision making Bd. 19, 10.12.2019, Nr. 1, date:12.2019: 1-7
	16215	Using machine-learning models to predict extubation failure in neonates with bronchopulmonary dysplasia Enthalten in BMC pulmonary medicine Bd. 24, 1.7.2024, Nr. 1, date:12.2024: 1-9
	16216	Using machine learning models to predict the impact of template mismatches on polymerase chain reaction assay performance Enthalten in Scientific reports Bd. 15, 9.5.2025, Nr. 1, date:12.2025: 1-11
	16217	Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis Enthalten in BMC medical informatics and decision making Bd. 20, 29.9.2020, Nr. 1, date:12.2020: 1-13
	16218	Using machine learning on clinical data to identify unexpected patterns in groups of COVID-19 patients Enthalten in Scientific reports Bd. 13, 8.2.2023, Nr. 1, date:12.2023: 1-11
	16219	Using machine learning prediction models for quality control: a case study from the automotive industry Enthalten in Computational management science Bd. 20, 16.3.2023, Nr. 1, date:12.2023: 1-28
	16220	Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review Enthalten in Diagnostic and prognostic research Bd. 4, 2.10.2020, Nr. 1, date:12.2020: 1-12