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Ergebnis der Suche nach: "Machine Learning"
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34501 - 34510 von 41572

	34501	Machine learning-derived immunosenescence index for predicting outcome and drug sensitivity in patients with skin cutaneous melanoma Enthalten in Genes and immunity Bd. 25, 29.5.2024, Nr. 3, date:6.2024: 219-231
	34502	Machine learning-derived model for predicting poor post-treatment quality of life in Korean cancer survivors Enthalten in Supportive care in cancer Bd. 32, 5.2.2024, Nr. 3, date:3.2024: 1-10
	34503	Machine-learning-derived prediction models of outcomes for patients with pseudomyxoma peritonei: development and validation in two retrospective cohorts Enthalten in Holistic integrative oncology Bd. 4, 19.7.2025, Nr. 1, date:12.2025: 1-14
	34504	Machine learning-derived prediction of in-hospital mortality in patients with severe acute respiratory infection: analysis of claims data from the German-wide Helios hospital network Enthalten in Respiratory research Bd. 23, 23.9.2022, Nr. 1, date:12.2022: 1-12
	34505	Machine learning-derived prognostic signature integrating programmed cell death and mitochondrial function in renal clear cell carcinoma: identification of PIF1 as a novel target Enthalten in Cancer immunology immunotherapy Bd. 74, 25.2.2025, Nr. 4, date:4.2025: 1-16
	34506	Machine learning-derived reaction statistics for 3D spectroimaging of copper sulfidation in heterogeneous rubber/brass composites Enthalten in Communications materials Bd. 4, 6.11.2023, Nr. 1, date:12.2023: 1-10
	34507	Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology Enthalten in Nature Communications Bd. 16, 2.1.2025, Nr. 1, date:12.2025: 1-14
	34508	Machine learning derived risk prediction of anorexia nervosa Enthalten in BMC medical genomics Bd. 9, 20.1.2016, Nr. 1, date:12.2015: 1-8
	34509	Machine-learning-derived rules set excludes risk of Parkinson’s disease in patients with olfactory or gustatory symptoms with high accuracy Enthalten in Journal of neurology Bd. 267, 1.11.2019, Nr. 2, date:2.2020: 469-478
	34510	Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification Enthalten in Journal of cardiovascular magnetic resonance Bd. 21, 7.1.2019, Nr. 1, date:12.2019: 1-11