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Ergebnis der Suche nach: "Machine Learning"
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26771 - 26780 von 32523

	26771	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
	26772	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
	26773	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
	26774	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
	26775	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
	26776	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
	26777	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
	26778	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
	26779	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
	26780	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

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