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Ergebnis der Suche nach: "Machine Learning"
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15541 - 15550 von 16976

	15541	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
	15542	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
	15543	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
	15544	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
	15545	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
	15546	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
	15547	Prognostic models for upper urinary tract urothelial carcinoma patients after radical nephroureterectomy based on a novel systemic immune-inflammation score with machine learning Enthalten in BMC cancer Bd. 23, 22.6.2023, Nr. 1, date:12.2023: 1-15
	15548	Prognostic nutritional index and diabetic peripheral neuropathy in type 2 diabetes: a machine learning approach Enthalten in Nutrition & metabolism Bd. 22, 25.3.2025, Nr. 1, date:12.2025: 1-10
	15549	Prognostic prediction for HER2-low breast cancer patients using a novel machine learning model Enthalten in BMC cancer Bd. 24, 29.11.2024, Nr. 1, date:12.2024: 1-15
	15550	Prognostic risk modeling of endometrial cancer using programmed cell death-related genes: a comprehensive machine learning approach Enthalten in Discover oncology Bd. 16, 8.3.2025, Nr. 1, date:12.2025: 1-18

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