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27751 |
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
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27752 |
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
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27753 |
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
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27754 |
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
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27755 |
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
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27756 |
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
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27757 |
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
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27758 |
Using alcohol consumption diary data from an internet intervention for outcome and predictive modeling: a validation and machine learning study
Enthalten in BMC medical research methodology Bd. 20, 11.5.2020, Nr. 1, date:12.2020: 1-9
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27759 |
Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping
Enthalten in Environmental science and pollution research Bd. 31, 19.8.2024, Nr. 40, date:8.2024: 52740-52757
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27760 |
Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms
Enthalten in BMC medical informatics and decision making Bd. 23, 19.10.2023, Nr. 1, date:12.2023: 1-14
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