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Ergebnis der Suche nach: "Machine Learning"
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16941 - 16950 von 17193

	16941	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
	16942	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
	16943	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
	16944	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
	16945	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
	16946	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
	16947	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
	16948	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
	16949	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
	16950	Using an ensemble machine learning model to delineate groundwater potential zones in desert fringes of East Esna-Idfu area, Nile valley, Upper Egypt Enthalten in Geoscience Letters Bd. 10, 9.2.2023, Nr. 1, date:12.2023: 1-19

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