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Ergebnis der Suche nach: "Machine Learning"
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11601 - 11610 von 15142

	11601	Machine learning model identifies aggressive acute pancreatitis within 48 h of admission: a large retrospective study Enthalten in BMC medical informatics and decision making Bd. 22, 29.11.2022, Nr. 1, date:12.2022: 1-10
	11602	Machine learning model in multi-omics perspective demystifies the prognostic significance of crotonylation heterogeneity in clear cell renal cell carcinoma Enthalten in BMC urology Bd. 25, 15.9.2025, Nr. 1, date:12.2025: 1-22
	11603	Machine learning model optimization for compressional sonic log prediction using well logs in Shahd SE field, Western Desert, Egypt Enthalten in Scientific reports Bd. 15, 29.4.2025, Nr. 1, date:12.2025: 1-18
	11604	Machine learning model optimization for flood susceptibility zonation over the Kosi megafan, Himalayan foreland basin, India Enthalten in Scientific reports Bd. 15, 24.9.2025, Nr. 1, date:12.2025: 1-26
	11605	Machine learning model predicting factors for incisional infection following right hemicolectomy for colon cancer Enthalten in BMC surgery Bd. 24, 1.10.2024, Nr. 1, date:12.2024: 1-9
	11606	Machine-learning model predicting quality of life using multifaceted lifestyles in middle-aged South Korean adults: a cross-sectional study Enthalten in BMC public health Bd. 24, 11.1.2024, Nr. 1, date:12.2024: 1-10
	11607	Machine learning model predicts airway stenosis requiring clinical intervention in patients after lung transplantation: a retrospective case-controlled study Enthalten in BMC medical informatics and decision making Bd. 24, 19.8.2024, Nr. 1, date:12.2024: 1-13
	11608	Machine learning model reveals the risk, prognosis, and drug response of histamine-related signatures in pancreatic cancer Enthalten in Discover oncology Bd. 16, 11.2.2025, Nr. 1, date:12.2025: 1-16
	11609	Machine learning model reveals the role of angiogenesis and EMT genes in glioma patient prognosis and immunotherapy Enthalten in Biology direct Bd. 19, 12.11.2024, Nr. 1, date:12.2024: 1-19
	11610	Machine learning model to predict mental health crises from electronic health records Enthalten in Nature medicine Bd. 28, 16.5.2022, Nr. 6, date:6.2022: 1240-1248

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