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

36881 - 36890 von 38958
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Artikel 36881 Retrospective analysis of interpretable machine learning in predicting ICU thrombocytopenia in geriatric ICU patients
Enthalten in Scientific reports Bd. 14, 20.7.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 36882 Retrospective Analysis of Radiofrequency Ablation in Patients with Small Solitary Hepatocellular Carcinoma: Survival Outcomes and Development of a Machine Learning Prognostic Model
Enthalten in Current medical science Bd. 44, 30.9.2024, Nr. 5, date:10.2024: 1006-1017
Online Ressource
Artikel 36883 Revealing accuracy in climate dynamics: enhancing evapotranspiration estimation using advanced quantile regression and machine learning models
Enthalten in Applied water science Bd. 14, 24.6.2024, Nr. 7, date:7.2024: 1-22
Online Ressource
Artikel 36884 Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learning
Enthalten in BMC neurology Bd. 18, 10.1.2018, Nr. 1, date:12.2018: 1-8
Online Ressource
Artikel 36885 Revealing effective regional decarbonisation measures to limit global temperature increase in uncertain transition scenarios with machine learning techniques
Enthalten in Climatic change Bd. 176, 16.6.2023, Nr. 7, date:7.2023: 1-23
Online Ressource
Artikel 36886 Revealing low-temperature plasma efficacy through a dose-rate assessment by DNA damage detection combined with machine learning models
Enthalten in Scientific reports Bd. 12, 1.11.2022, Nr. 1, date:12.2022: 1-10
Online Ressource
Artikel 36887 Revealing novel pyroptosis-related therapeutic targets for sepsis based on machine learning
Enthalten in BMC medical genomics Bd. 16, 10.2.2023, Nr. 1, date:12.2023: 1-15
Online Ressource
Artikel 36888 Revealing Personality through Handwriting: A Fusion of Graphology and Machine Learning Techniques
Enthalten in Pattern recognition and image analysis Bd. 34, 6.4.2025, Nr. 4, date:12.2024: 1037-1043
Online Ressource
Artikel 36889 Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis
Enthalten in BMC infectious diseases Bd. 22, 19.1.2022, Nr. 1, date:12.2022: 1-16
Online Ressource
Artikel 36890 Revealing Prdx4 as a potential diagnostic and therapeutic target for acute pancreatitis based on machine learning analysis
Enthalten in BMC medical genomics Bd. 17, 19.4.2024, Nr. 1, date:12.2024: 1-15
Online Ressource


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