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Ergebnis der Suche nach: "Machine Learning"
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27681 - 27690 von 28091
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Artikel 27681 Use of unsupervised machine learning to characterise HIV predictors in sub-Saharan Africa
Enthalten in BMC infectious diseases Bd. 23, 19.7.2023, Nr. 1, date:12.2023: 1-13
Online Ressource
Artikel 27682 Usefulness of machine learning softwares to screen titles of systematic reviews: a methodological study
Enthalten in Systematic Reviews Bd. 12, 15.4.2023, Nr. 1, date:12.2023: 1-14
Online Ressource
Artikel 27683 User structural information in priority-based ranking for top-N recommendation
Enthalten in Advances in computational intelligence Bd. 3, 6.1.2023, Nr. 1, date:2.2023: 1-16
Online Ressource
Artikel 27684 User training for machine learning controlled upper limb prostheses: a serious game approach
Enthalten in Journal of neuroEngineering and rehabilitation Bd. 18, 12.2.2021, Nr. 1, date:12.2021: 1-15
Online Ressource
Artikel 27685 Using a cohort study of diabetes and peripheral artery disease to compare logistic regression and machine learning via random forest modeling
Enthalten in BMC medical research methodology Bd. 22, 23.11.2022, Nr. 1, date:12.2022: 1-10
Online Ressource
Artikel 27686 Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma
Enthalten in BMC cancer Bd. 21, 9.8.2021, Nr. 1, date:12.2021: 1-11
Online Ressource
Artikel 27687 Using a Machine Learning Methodology to Analyze Reddit Posts regarding Child Feeding Information
Enthalten in Journal of child and family studies Bd. 30, 27.2.2021, Nr. 5, date:5.2021: 1290-1298
Online Ressource
Artikel 27688 Using a multi-staged strategy based on machine learning and mathematical modeling to predict genotype-phenotype risk patterns in diabetic kidney disease: a prospective case–control cohort analysis
Enthalten in BMC nephrology Bd. 14, 23.7.2013, Nr. 1, date:12.2013: 1-9
Online Ressource
Artikel 27689 Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches
Enthalten in BMC medical informatics and decision making Bd. 25, 31.1.2025, Nr. 1, date:12.2025: 1-10
Online Ressource
Artikel 27690 Using a Sociotechnical Model to Understand Challenges with Sepsis Recognition among Critically Ill Infants
Enthalten in ACI Open Bd. 06, 2022, Nr. 02: e57-e65
Online Ressource


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