Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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16271 - 16280 von 16533

	16271	Use machine learning to predict treatment outcome of early childhood caries Enthalten in BMC oral health Bd. 25, 15.3.2025, Nr. 1, date:12.2025: 1-9
	16272	Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France Enthalten in Archives of public health Bd. 79, 22.9.2021, Nr. 1, date:12.2021: 1-13
	16273	Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable Enthalten in BMC bioinformatics Bd. 9, 18.11.2008, Nr. 1, date:12.2008: 1-12
	16274	Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy Enthalten in Supportive care in cancer Bd. 33, 13.2.2025, Nr. 3, date:3.2025: 1-10
	16275	Use of machine learning-based integration to develop a monocyte differentiation-related signature for improving prognosis in patients with sepsis Enthalten in Molecular medicine Bd. 29, 20.3.2023, Nr. 1, date:12.2023: 1-16
	16276	Use of machine learning models to predict prognosis of combined pulmonary fibrosis and emphysema in a Chinese population Enthalten in BMC pulmonary medicine Bd. 22, 29.8.2022, Nr. 1, date:12.2022: 1-11
	16277	Use of machine learning techniques for identifying ischemic stroke instead of the rule-based methods: a nationwide population-based study Enthalten in European journal of medical research Bd. 29, 3.1.2024, Nr. 1, date:12.2024: 1-9
	16278	Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa Enthalten in BMC medical research methodology Bd. 21, 31.7.2021, Nr. 1, date:12.2021: 1-11
	16279	Use of machine learning to analyse routinely collected intensive care unit data: a systematic review Enthalten in Critical care Bd. 23, 22.8.2019, Nr. 1, date:12.2019: 1-11
	16280	Use of machine learning to assess factors affecting progression, retention, and graduation in first-year health professions students in Qatar: a longitudinal study Enthalten in BMC medical education Bd. 23, 30.11.2023, Nr. 1, date:12.2023: 1-11