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Ergebnis der Suche nach: "Machine Learning"
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15571 - 15580 von 17082

	15571	Predictive Modeling of Hypoglycemia Risk with Basal Insulin Use in Type 2 Diabetes: Use of Machine Learning in the LIGHTNING Study Enthalten in Diabetes therapy Bd. 10, 14.2.2019, Nr. 2, date:4.2019: 605-615
	15572	Predictive modeling of ICU-AW inflammatory factors based on machine learning Enthalten in BMC neurology Bd. 24, 19.12.2024, Nr. 1, date:12.2024: 1-13
	15573	Predictive modeling of lower extreme deep vein thrombosis following radical gastrectomy for gastric cancer: based on multiple machine learning methods Enthalten in Scientific reports Bd. 14, 8.7.2024, Nr. 1, date:12.2024: 1-11
	15574	Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP models Enthalten in Plant methods Bd. 18, 11.4.2022, Nr. 1, date:12.2022: 1-24
	15575	Predictive modeling of pregnancy outcomes utilizing multiple machine learning techniques for in vitro fertilization-embryo transfer Enthalten in BMC pregnancy and childbirth Bd. 25, 19.3.2025, Nr. 1, date:12.2025: 1-13
	15576	Predictive modeling of proliferative vitreoretinopathy using automated machine learning by ophthalmologists without coding experience Enthalten in Scientific reports Bd. 10, 11.11.2020, Nr. 1, date:12.2020: 1-10
	15577	Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach Enthalten in AI in civil engineering Bd. 4, 14.5.2025, Nr. 1, date:12.2025: 1-25
	15578	Predictive modeling with linear machine learning can estimate glioblastoma survival in months based solely on MGMT-methylation status, age and sex Enthalten in Acta neurochirurgica Bd. 167, 24.2.2025, Nr. 1, date:12.2025: 1-8
	15579	Predictive modelling and identification of key risk factors for stroke using machine learning Enthalten in Scientific reports Bd. 14, 20.5.2024, Nr. 1, date:12.2024: 1-23
	15580	Predictive modelling of deliberate self-harm and suicide attempts in young people accessing primary care: a machine learning analysis of a longitudinal study Enthalten in Social psychiatry and psychiatric epidemiology Bd. 58, 28.2.2023, Nr. 6, date:6.2023: 893-905

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