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Ergebnis der Suche nach: "Machine Learning"
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26851 - 26860 von 28809
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Artikel 26851 Risk factors and socio-economic burden in pancreatic ductal adenocarcinoma operation: a machine learning based analysis
Enthalten in BMC cancer Bd. 20, 27.11.2020, Nr. 1, date:12.2020: 1-12
Online Ressource
Artikel 26852 Risk Factors Associated with COVID-19 Lethality: A Machine Learning Approach Using Mexico Database
Enthalten in Journal of medical systems Bd. 47, 19.8.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 26853 Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse
Enthalten in Intensive Care Medicine Experimental Bd. 9, 28.6.2021, Nr. 1, date:12.2021: 1-15
Online Ressource
Artikel 26854 Risk factors for cardiovascular disease in patients with metabolic-associated fatty liver disease: a machine learning approach
Enthalten in Cardiovascular diabetology Bd. 21, 12.11.2022, Nr. 1, date:12.2022: 1-12
Online Ressource
Artikel 26855 Risk factors for the time to development of retinopathy of prematurity in premature infants in Iran: a machine learning approach
Enthalten in BMC ophthalmology Bd. 24, 23.8.2024, Nr. 1, date:12.2024: 1-16
Online Ressource
Artikel 26856 Risk of bias of prognostic models developed using machine learning: a systematic review in oncology
Enthalten in Diagnostic and prognostic research Bd. 6, 7.7.2022, Nr. 1, date:12.2022: 1-14
Online Ressource
Artikel 26857 Risk prediction for delayed clearance of high-dose methotrexate in pediatric hematological malignancies by machine learning
Enthalten in International journal of hematology Bd. 114, 25.6.2021, Nr. 4, date:10.2021: 483-493
Online Ressource
Artikel 26858 Risk prediction for malignant intraductal papillary mucinous neoplasm of the pancreas: logistic regression versus machine learning
Enthalten in Scientific reports Bd. 10, 18.11.2020, Nr. 1, date:12.2020: 1-8
Online Ressource
Artikel 26859 Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study
Enthalten in BMC neurology Bd. 22, 27.5.2022, Nr. 1, date:12.2022: 1-9
Online Ressource
Artikel 26860 Risk prediction of cholangitis after stent implantation based on machine learning
Enthalten in Scientific reports Bd. 14, 14.6.2024, Nr. 1, date:12.2024: 1-11
Online Ressource


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