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32851 - 32860 von 33146

	32851	Using unsupervised machine learning methods to cluster cardio-metabolic profile of the middle-aged and elderly Chinese with general and central obesity Enthalten in BMC cardiovascular disorders Bd. 25, 27.10.2025, Nr. 1, date:12.2025: 1-13
	32852	Using unsupervised machine learning to classify behavioral risk markers of bacterial vaginosis Enthalten in Archives of gynecology and obstetrics Bd. 309, 3.2.2024, Nr. 3, date:3.2024: 1053-1063
	32853	Using visible and NIR hyperspectral imaging and machine learning for nondestructive detection of nutrient contents in sorghum Enthalten in Scientific reports Bd. 15, 19.2.2025, Nr. 1, date:12.2025: 1-14
	32854	Using weak signals to predict spontaneous breathing trial success: a machine learning approach Enthalten in Intensive Care Medicine Experimental Bd. 13, 18.3.2025, Nr. 1, date:12.2025: 1-14
	32855	Using wearable sensors and machine learning to assess upper limb function in Huntington’s disease Enthalten in Communications medicine Bd. 5, 25.2.2025, Nr. 1, date:12.2025: 1-9
	32856	Using XBGoost, an interpretable machine learning model, for diagnosing prostate cancer in patients with PSA < 20 ng/ml based on the PSAMR indicator Enthalten in Scientific reports Bd. 15, 9.1.2025, Nr. 1, date:12.2025: 1-11
	32857	Utilising energy function and variational inference training for learning a graph neural network architecture Enthalten in Machine learning Bd. 113, 23.1.2024, Nr. 3, date:3.2024: 1219-1241
	32858	Utilising machine learning algorithms to predict the Marshall characteristics of asphalt pavement layers Enthalten in Innovative infrastructure solutions Bd. 9, 14.9.2024, Nr. 10, date:10.2024: 1-22
	32859	Utilising unsupervised machine learning and IoT for cost-effective anomaly detection in multi-layer wire arc additive manufacturing Enthalten in The international journal of advanced manufacturing technology Bd. 135, 24.10.2024, Nr. 5-6, date:11.2024: 2957-2974
	32860	Utility of comprehensive genomic profiling combined with machine learning for prognostic stratification in stage II/III colorectal cancer after adjuvant chemotherapy Enthalten in International journal of clinical oncology Bd. 30, 17.3.2025, Nr. 5, date:5.2025: 926-934

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