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Ergebnis der Suche nach: "Machine Learning"
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Artikel 26881 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 26882 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 26883 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 26884 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 26885 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 26886 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 26887 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
Artikel 26888 Machine learning to identify chronic cough from administrative claims data
Enthalten in Scientific reports Bd. 14, 30.1.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 26889 Machine learning to identify environmental drivers of phytoplankton blooms in the Southern Baltic Sea
Enthalten in Scientific reports Bd. 15, 24.1.2025, Nr. 1, date:12.2025: 1-16
Online Ressource
Artikel 26890 Machine learning to identify geologic factors associated with production in geothermal fields: a case-study using 3D geologic data, Brady geothermal field, Nevada
Enthalten in Geothermal Energy Bd. 9, 30.6.2021, Nr. 1, date:12.2021: 1-17
Online Ressource


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