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Ergebnis der Suche nach: "Machine Learning"
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27211 - 27220 von 28816

	27211	Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients Enthalten in Journal of cancer research and clinical oncology Bd. 150, 23.10.2024, Nr. 10, date:10.2024: 1-20
	27212	Single-cell RNA-sequencing and genome-wide Mendelian randomisation along with abundant machine learning methods identify a novel B cells signature in gastric cancer Enthalten in Discover oncology Bd. 16, 6.1.2025, Nr. 1, date:12.2025: 1-16
	27213	Single-cell Sequence Analysis Combined with Multiple Machine Learning to Identify Markers in Sepsis Patients: LILRA5 Enthalten in Inflammation Bd. 46, 15.3.2023, Nr. 4, date:8.2023: 1236-1254
	27214	Single-Class Classification with Mapping Convergence Enthalten in Machine learning Bd. 61, 9.6.2005, Nr. 1-3, date:11.2005: 49-69
	27215	Single classifier vs. ensemble machine learning approaches for mental health prediction Enthalten in Brain Informatics Bd. 10, 3.1.2023, Nr. 1, date:12.2023: 1-10
	27216	Single-Component/Single-Station–Based Machine Learning for Estimating Magnitude and Location of an Earthquake: A Support Vector Machine Approach Enthalten in Pure and applied geophysics Bd. 178, 12.5.2021, Nr. 6, date:6.2021: 1959-1976
	27217	Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of supervised machine learning classifiers Enthalten in BMC medicine Bd. 20, 12.9.2022, Nr. 1, date:12.2022: 1-16
	27218	Single-shot and lensless complex-amplitude imaging with incoherent light based on machine learning Enthalten in Optical review Bd. 25, 31.7.2018, Nr. 5, date:10.2018: 593-597
	27219	Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques Enthalten in Journal of neuroEngineering and rehabilitation Bd. 20, 2.6.2023, Nr. 1, date:12.2023: 1-17
	27220	Six clinical phenotypes with prognostic implications were identified by unsupervised machine learning in children and adolescents with SARS-CoV-2 infection: results from a German nationwide registry Enthalten in Respiratory research Bd. 25, 30.10.2024, Nr. 1, date:12.2024: 1-11

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