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Neuigkeiten Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.
 
 
 


Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

26521 - 26530 von 29231
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Artikel 26521 Preoperative prediction of intrahepatic cholangiocarcinoma lymph node metastasis by means of machine learning: a multicenter study in China
Enthalten in BMC cancer Bd. 22, 29.8.2022, Nr. 1, date:12.2022: 1-11
Online Ressource
Artikel 26522 Preoperative prediction of lymph node status in patients with colorectal cancer. Developing a predictive model using machine learning
Enthalten in International journal of colorectal disease Bd. 37, 26.11.2022, Nr. 12, date:12.2022: 2517-2524
Online Ressource
Artikel 26523 Preoperative prediction of regional lymph node metastasis of colorectal cancer based on 18F-FDG PET/CT and machine learning
Enthalten in Annals of nuclear medicine Bd. 35, 18.3.2021, Nr. 5, date:5.2021: 617-627
Online Ressource
Artikel 26524 Preoperative prediction of the need for arterial and central venous catheterization using machine learning techniques
Enthalten in Scientific reports Bd. 12, 13.7.2022, Nr. 1, date:12.2022: 1-9
Online Ressource
Artikel 26525 Preoperative prediction of the selection of the NOTES approach for patients with symptomatic simple renal cysts via an interpretable machine learning model: a retrospective study of 264 patients
Enthalten in Langenbeck's archives of surgery Bd. 410, 4.1.2025, Nr. 1, date:12.2025: 1-15
Online Ressource
Artikel 26526 Preoperatively predicting failure to achieve the minimum clinically important difference and the substantial clinical benefit in patient-reported outcome measures for total hip arthroplasty patients using machine learning
Enthalten in BMC musculoskeletal disorders Bd. 26, 14.2.2025, Nr. 1, date:12.2025: 1-10
Online Ressource
Artikel 26527 Preovulatory progesterone levels are the top indicator for ovulation prediction based on machine learning model evaluation: a retrospective study
Enthalten in Journal of ovarian research Bd. 17, 21.8.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 26528 Preparing Tomorrow’s Physicians: The Case for Machine Learning in Medical Education
Enthalten in Journal of medical systems Bd. 49, 11.6.2025, Nr. 1, date:12.2025: 1-4
Online Ressource
Artikel 26529 Presentation of machine learning methods to determine the most important factors affecting road traffic accidents on rural roads
Enthalten in Frontiers of structural and civil engineering Bd. 16, 30.7.2022, Nr. 5, date:5.2022: 657-666
Online Ressource
Artikel 26530 Presenting a Hybrid Scheme of Machine Learning Combined with Metaheuristic Optimizers for Predicting Final Cost and Time of Project
Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 26, 3.6.2022, Nr. 8, date:8.2022: 3188-3203
Online Ressource


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