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

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Artikel 26491 Prediction of prognosis, efficacy of lung adenocarcinoma by machine learning model based on immune and metabolic related genes
Enthalten in Discover oncology Bd. 15, 18.12.2024, Nr. 1, date:12.2024: 1-16
Online Ressource
Artikel 26492 Prediction of prolonged mechanical ventilation in the intensive care unit via machine learning: a COVID-19 perspective
Enthalten in Scientific reports Bd. 14, 4.12.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 26493 Prediction of properties of friction stir spot welded joints of AA7075-T651/Ti-6Al-4V alloy using machine learning algorithms
Enthalten in Archives of civil and mechanical engineering Bd. 22, 21.3.2022, Nr. 2, date:5.2022: 1-19
Online Ressource
Artikel 26494 Prediction of prostate biopsy outcomes at different cut-offs of prostate-specific antigen using machine learning: a multicenter study
Enthalten in Egyptian National Cancer Institute (al-Qāhira): Journal of the Egyptian National Cancer Institute Bd. 37, 17.3.2025, Nr. 1, date:12.2025: 1-8
Online Ressource
Artikel 26495 Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning
Enthalten in Nature biotechnology Bd. 40, 23.5.2022, Nr. 10, date:10.2022: 1520-1527
Online Ressource
Artikel 26496 Prediction of Protein–Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures
Enthalten in The journal of membrane biology Bd. 249, 12.11.2015, Nr. 1-2, date:4.2016: 141-153
Online Ressource
Artikel 26497 Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma
Enthalten in Scientific reports Bd. 8, 21.8.2018, Nr. 1, date:12.2018: 1-9
Online Ressource
Artikel 26498 Prediction of Pt, Ir, Ru, and Rh complexes light absorption in the therapeutic window for phototherapy using machine learning
Enthalten in Journal of cheminformatics Bd. 17, 5.1.2025, Nr. 1, date:12.2025: 1-13
Online Ressource
Artikel 26499 Prediction of pulmonary embolism by an explainable machine learning approach in the real world
Enthalten in Scientific reports Bd. 15, 4.1.2025, Nr. 1, date:12.2025: 1-8
Online Ressource
Artikel 26500 Prediction of pulmonary pressure after Glenn shunts by computed tomography–based machine learning models
Enthalten in European radiology Bd. 30, 8.11.2019, Nr. 3, date:3.2020: 1369-1377
Online Ressource


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