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Ergebnis der Suche nach:
"Machine Learning"
im Bestand: Gesamter Bestand
26521 - 26530 von 29231
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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
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
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
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
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
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
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
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
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
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
26521 - 26530 von 29231
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