Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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41561 - 41570 von 42063

	41561	Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable Enthalten in BMC bioinformatics Bd. 9, 18.11.2008, Nr. 1, date:12.2008: 1-12
	41562	Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy Enthalten in Supportive care in cancer Bd. 33, 13.2.2025, Nr. 3, date:3.2025: 1-10
	41563	Use of Machine Learning Approaches in Clinical Epidemiological Research of Diabetes Enthalten in Current diabetes reports Bd. 20, 3.12.2020, Nr. 12, date:12.2020: 1-19
	41564	Use of machine learning-based classification algorithms in the monitoring of Land Use and Land Cover practices in a hilly terrain Enthalten in Environmental monitoring and assessment Bd. 196, 5.12.2023, Nr. 1, date:1.2024: 1-21
	41565	Use of machine learning-based integration to develop a monocyte differentiation-related signature for improving prognosis in patients with sepsis Enthalten in Molecular medicine Bd. 29, 20.3.2023, Nr. 1, date:12.2023: 1-16
	41566	Use of Machine Learning for Dosage Individualization of Vancomycin in Neonates Enthalten in Clinical pharmacokinetics Bd. 62, 10.6.2023, Nr. 8, date:8.2023: 1105-1116
	41567	Use of machine learning for risk stratification of chest pain patients in the emergency department Enthalten in BMC medical informatics and decision making Bd. 25, 24.10.2025, Nr. 1, date:12.2025: 1-12
	41568	Use of machine learning in the financial sector: an analysis of trends and the research agenda Enthalten in Discover artificial intelligence Bd. 5, 22.10.2025, Nr. 1, date:12.2025: 1-31
	41569	Use of Machine Learning Methods to Analyze Patterns of Brain Activity during Assessment of the Self and Others Enthalten in Neuroscience and behavioral physiology Bd. 53, 25.11.2023, Nr. 7, date:9.2023: 1210-1218
	41570	Use of Machine Learning Models for Classification of Myographic Diseases Enthalten in Biomedical engineering Bd. 56, 12.1.2023, Nr. 5, date:1.2023: 353-357

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