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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

26831 - 26840 von 32606
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Artikel 26831 Machine learning to assist clinical decision-making during the COVID-19 pandemic
Enthalten in Bioelectronic medicine Bd. 6, 10.7.2020, Nr. 1, date:12.2020: 1-8
Online Ressource
Artikel 26832 Machine Learning to Control Network Powered by Computing Infrastructure
Enthalten in Doklady mathematics Bd. 109, 13.5.2024, Nr. 2, date:4.2024: 183-190
Online Ressource
Artikel 26833 Machine learning to detect melanoma exploiting nuclei morphology and Spatial organization
Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-11
Online Ressource
Artikel 26834 Machine Learning to Determine Risk Factors for Myopia Progression in Primary School Children: The Anyang Childhood Eye Study
Enthalten in Ophthalmology and therapy Bd. 11, 21.1.2022, Nr. 2, date:4.2022: 573-585
Online Ressource
Artikel 26835 Machine learning to establish three sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with gastric cancer
Enthalten in BMC genomics Bd. 25, 28.3.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 26836 Machine learning to evaluate the effects of non-clinical social determinant features in predicting colorectal Cancer mortality in a medically underserved Appalachian population
Enthalten in Scientific reports Bd. 15, 16.7.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 26837 Machine learning to explore nanocomposites with high dielectric strength by tailoring filler parameters
Enthalten in Journal of materials science Bd. 60, 17.6.2025, Nr. 25, date:7.2025: 10369-10379
Online Ressource
Artikel 26838 Machine learning to explore the stochastic perturbations in revenue of pandemic-influenced small businesses
Enthalten in Nonlinear dynamics Bd. 112, 29.11.2023, Nr. 2, date:1.2024: 1549-1558
Online Ressource
Artikel 26839 Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study
Enthalten in BMC medical informatics and decision making Bd. 19, 8.5.2019, Nr. 1, date:12.2019: 1-12
Online Ressource
Artikel 26840 Machine learning to identify attributes that predict patients who leave without being seen in a pediatric emergency department
Enthalten in Canadian journal of emergency medicine Bd. 25, 28.7.2023, Nr. 8, date:8.2023: 689-694
Online Ressource


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