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11661 - 11670 von 15216

	11661	Machine learning model for the prediction of gram-positive and gram-negative bacterial bloodstream infection based on routine laboratory parameters Enthalten in BMC infectious diseases Bd. 23, 10.10.2023, Nr. 1, date:12.2023: 1-12
	11662	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
	11663	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
	11664	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
	11665	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
	11666	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
	11667	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
	11668	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
	11669	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
	11670	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

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