Katalog der Deutschen Nationalbibliothek

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

16251 - 16260 von 16476

	16251	Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES Enthalten in BMC public health Bd. 24, 1.11.2024, Nr. 1, date:12.2024: 1-15
	16252	Using Jupyter Notebooks for re-training machine learning models Enthalten in Journal of cheminformatics Bd. 14, 13.8.2022, Nr. 1, date:12.2022: 1-9
	16253	Using machine learning algorithm to analyse the hypothyroidism complications caused by radiotherapy in patients with head and neck cancer Enthalten in Scientific reports Bd. 13, 6.11.2023, Nr. 1, date:12.2023: 1-10
	16254	Using machine learning algorithms to enhance IoT system security Enthalten in Scientific reports Bd. 14, 27.5.2024, Nr. 1, date:12.2024: 1-19
	16255	Using machine learning algorithms to guide rehabilitation planning for home care clients Enthalten in BMC medical informatics and decision making Bd. 7, 20.12.2007, Nr. 1, date:12.2007: 1-13
	16256	Using machine learning algorithms to identify genes essential for cell survival Enthalten in BMC bioinformatics Bd. 18, 3.10.2017, Nr. 11, date:10.2017: 19-29
	16257	Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials Enthalten in npj computational materials Bd. 4, 16.7.2018, Nr. 1, date:12.2018: 1-10
	16258	Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department Enthalten in BMC emergency medicine Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-18
	16259	Using machine learning approach for screening metastatic biomarkers in colorectal cancer and predictive modeling with experimental validation Enthalten in Scientific reports Bd. 13, 8.11.2023, Nr. 1, date:12.2023: 1-17
	16260	Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors Enthalten in BMC medical informatics and decision making Bd. 24, 22.7.2024, Nr. 1, date:12.2024: 1-8