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Ergebnis der Suche nach: "Machine Learning"
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15571 - 15580 von 17015

	15571	Procrustes is a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data Enthalten in Communications biology Bd. 7, 30.3.2024, Nr. 1, date:12.2024: 1-14
	15572	ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples Enthalten in BMC bioinformatics Bd. 12, 6.10.2011, Nr. 1, date:12.2011: 1-15
	15573	Proficiency evaluation of shape and WPT radiomics based on machine learning for CT lung cancer prognosis Enthalten in The Egyptian Journal of Radiology and Nuclear Medicine Bd. 55, 5.3.2024, Nr. 1, date:12.2024: 1-13
	15574	Profiles of autism characteristics in thirteen genetic syndromes: a machine learning approach Enthalten in Molecular autism Bd. 14, 13.1.2023, Nr. 1, date:12.2023: 1-14
	15575	Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application Enthalten in npj digital medicine Bd. 6, 26.10.2023, Nr. 1, date:12.2023: 1-10
	15576	Prognosis prediction in traumatic brain injury patients using machine learning algorithms Enthalten in Scientific reports Bd. 13, 18.1.2023, Nr. 1, date:12.2023: 1-15
	15577	Prognostic assessment capability of a five-gene signature in pancreatic cancer: a machine learning based-study Enthalten in BMC gastroenterology Bd. 23, 11.3.2023, Nr. 1, date:12.2023: 1-10
	15578	Prognostic effects of glycaemic variability on diastolic heart failure and type 2 diabetes mellitus: insights and 1-year mortality machine learning prediction model Enthalten in Diabetology & metabolic syndrome Bd. 16, 23.11.2024, Nr. 1, date:12.2024: 1-15
	15579	Prognostic model for log odds of negative lymph node in locally advanced rectal cancer via interpretable machine learning Enthalten in Scientific reports Bd. 15, 7.3.2025, Nr. 1, date:12.2025: 1-13
	15580	Prognostic model identification of ribosome biogenesis-related genes in pancreatic cancer based on multiple machine learning analyses Enthalten in Discover oncology Bd. 16, 24.5.2025, Nr. 1, date:12.2025: 1-28

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