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Ergebnis der Suche nach: "Machine Learning"
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36621 - 36630 von 37152

	36621	Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods Enthalten in BMC infectious diseases Bd. 25, 15.4.2025, Nr. 1, date:12.2025: 1-18
	36622	Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends Enthalten in Analytical and bioanalytical chemistry Bd. 415, 3.3.2023, Nr. 18, date:7.2023: 3945-3966
	36623	Unraveling the determinants of overemployment and underemployment among older workers in Japan: A machine learning approach Enthalten in The Japanese economic review Bd. 75, 18.11.2024, Nr. 4, date:12.2024: 691-737
	36624	Unraveling the impact of abdominal arterial calcifications on kidney transplant waitlist mortality through ensemble machine learning Enthalten in Scientific reports Bd. 14, 16.10.2024, Nr. 1, date:12.2024: 1-11
	36625	Unraveling the link between PTBP1 and severe asthma through machine learning and association rule mining method Enthalten in Scientific reports Bd. 13, 16.9.2023, Nr. 1, date:12.2023: 1-19
	36626	Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets Enthalten in Archives of toxicology Bd. 97, 21.8.2023, Nr. 11, date:11.2023: 2969-2981
	36627	Unraveling the Most Important Predictors of Eudaimonic and Hedonic Well-Being in Korean Adults: A Machine Learning Approach Enthalten in Journal of happiness studies Bd. 25, 22.8.2024, Nr. 7, date:10.2024: 1-22
	36628	Unraveling the significance of cuproptosis in hepatocellular carcinoma heterogeneity and tumor microenvironment through integrated single-cell sequencing and machine learning approaches Enthalten in Discover oncology Bd. 16, 24.5.2025, Nr. 1, date:12.2025: 1-17
	36629	Unravelling individual rhythmic abilities using machine learning Enthalten in Scientific reports Bd. 14, 11.1.2024, Nr. 1, date:12.2024: 1-16
	36630	Unravelling intubation challenges: a machine learning approach incorporating multiple predictive parameters Enthalten in BMC anesthesiology Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-14

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