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Ergebnis der Suche nach: "Machine Learning"
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33961 - 33970 von 37206

	33961	Predicting three-month fasting blood glucose and glycated hemoglobin changes in patients with type 2 diabetes mellitus based on multiple machine learning algorithms Enthalten in Scientific reports Bd. 13, 30.9.2023, Nr. 1, date:12.2023: 1-13
	33962	Predicting tool life and sound pressure levels in dry turning using machine learning models Enthalten in The international journal of advanced manufacturing technology Bd. 135, 31.10.2024, Nr. 7-8, date:12.2024: 3777-3793
	33963	Predicting torsional capacity of reinforced concrete members by data-driven machine learning models Enthalten in Frontiers of structural and civil engineering Bd. 18, 28.5.2024, Nr. 3, date:3.2024: 444-460
	33964	Predicting total healthcare demand using machine learning: separate and combined analysis of predisposing, enabling, and need factors Enthalten in BMC health services research Bd. 25, 12.3.2025, Nr. 1, date:12.2025: 1-27
	33965	PREDICTING TRAFFIC CONGESTION DURING COVID19 USING HUMAN MOBILITY AND STREET-WASTE FEATURES Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4/W3-2022, 2022: 301-308. 8 S.
	33966	Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models Enthalten in Pain and therapy Bd. 14, 25.12.2024, Nr. 1, date:2.2025: 359-373
	33967	Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis Enthalten in Translational Psychiatry Bd. 12, 12.8.2022, Nr. 1, date:12.2022: 1-18
	33968	Predicting triage of pediatric patients in the emergency department using machine learning approach Enthalten in International journal of emergency medicine Bd. 18, 10.3.2025, Nr. 1, date:12.2025: 1-12
	33969	Predicting Twin Nucleation in a Polycrystalline Mg Alloy Using Machine Learning Methods Enthalten in Metallurgical and materials transactions / A / Physical metallurgy and materials science Bd. 50, 30.9.2019, Nr. 12, date:12.2019: 5543-5560
	33970	Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data Enthalten in BMC medical informatics and decision making Bd. 17, 5.7.2017, Nr. 1, date:12.2017: 1-11

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