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

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Artikel 26781 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
Artikel 26782 Machine learning to identify precachexia and cachexia: a multicenter, retrospective cohort study
Enthalten in Supportive care in cancer Bd. 32, 3.9.2024, Nr. 10, date:10.2024: 1-12
Online Ressource
Artikel 26783 Machine Learning to Identify Predictors of Glycemic Control in Type 2 Diabetes: An Analysis of Target HbA1c Reduction Using Empagliflozin/Linagliptin Data
Enthalten in Pharmaceutical medicine Bd. 33, 20.5.2019, Nr. 3, date:6.2019: 209-217
Online Ressource
Artikel 26784 Machine learning to identify suitable boundaries for band-pass spectral analysis of dynamic [ $$^11}$$ 11 C]Ro15-4513 PET scan and voxel-wise parametric map generation
Enthalten in EJNMMI Research Bd. 15, 11.7.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 26785 Machine learning to improve frequent emergency department use prediction: a retrospective cohort study
Enthalten in Scientific reports Bd. 13, 3.2.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 26786 Machine learning to improve interpretability of clinical, radiological and panel-based genomic data of glioma grade 4 patients undergoing surgical resection
Enthalten in Journal of translational medicine Bd. 21, 7.7.2023, Nr. 1, date:12.2023: 1-13
Online Ressource
Artikel 26787 Machine learning to improve predictive performance of prehospital early warning scores
Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-9
Online Ressource
Artikel 26788 Machine learning to improve the interpretation of intercalating dye-based quantitative PCR results
Enthalten in Scientific reports Bd. 12, 30.9.2022, Nr. 1, date:12.2022: 1-8
Online Ressource
Artikel 26789 Machine learning to improve the understanding of rabies epidemiology in low surveillance settings
Enthalten in Scientific reports Bd. 14, 28.10.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 26790 Machine learning to investigate policy-relevant social determinants of health and suicide rates in the United States
Enthalten in Nature Mental Health Bd. 3, 12.5.2025, Nr. 6, date:6.2025: 675-684
Online Ressource


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