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41451 - 41460 von 42174

	41451	Ultrasound-based radiomics machine learning models for diagnosing cervical lymph node metastasis in patients with non-small cell lung cancer: a multicentre study Enthalten in BMC cancer Bd. 24, 27.4.2024, Nr. 1, date:12.2024: 1-11
	41452	UMPreSS: UCSF Mohs preoperative scheduling system-development and validation of a machine learning model for predicting Mohs case complexity Enthalten in Archives of dermatological research Bd. 317, 25.6.2025, Nr. 1, date:12.2025: 1-6
	41453	Umwandlung freitextlicher radiologischer Befundtexte in strukturierte Daten Enthalten in Die Radiologie Bd. 65, 11.2.2025, Nr. 4, date:4.2025: 249-256
	41454	Un algoritmo basato sul machine learning come approccio innovativo per la diagnosi differenziale tra diabete insipido e polidipsia primaria nella pratica clinica Enthalten in L' endocrinologo Bd. 24, 24.7.2023, Nr. 4, date:8.2023: 452-453
	41455	Unbiased identification of risk factors for invasive Escherichia coli disease using machine learning Enthalten in BMC infectious diseases Bd. 24, 8.8.2024, Nr. 1, date:12.2024: 1-12
	41456	Unbinned multivariate observables for global SMEFT analyses from machine learning Enthalten in Journal of high energy physics Bd. 2023, 6.3.2023, Nr. 3, date:3.2023: 1-66
	41457	Unboxing machine learning models for concrete strength prediction using XAI Enthalten in Scientific reports Bd. 13, 14.11.2023, Nr. 1, date:12.2023: 1-20
	41458	Uncertainty Assessment of Surface Water Salinity Using Standalone, Ensemble, and Deep Machine Learning Methods: A Case Study of Lake Urmia Enthalten in Iranian journal of science and technology / Transactions of civil engineering Bd. 48, 2.3.2024, Nr. 2, date:4.2024: 1029-1047
	41459	Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study Enthalten in Journal of Big Data Bd. 12, 17.4.2025, Nr. 1, date:12.2025: 1-28
	41460	Uncertainty-aware estimation of population abundance using machine learning Enthalten in Multimedia systems Bd. 22, 3.9.2015, Nr. 6, date:11.2016: 737-749