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

41801 - 41810 von 42026

	41801	Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals Enthalten in BMC medical informatics and decision making Bd. 20, 27.10.2020, Nr. 1, date:12.2020: 1-10
	41802	Validation of a Machine Learning Algorithm, EVendo, for Predicting Esophageal Varices in Hepatocellular Carcinoma Enthalten in Digestive diseases and sciences Bd. 69, 19.6.2024, Nr. 8, date:8.2024: 3079-3084
	41803	Validation of a machine learning model for indirect screening of suicidal ideation in the general population Enthalten in Scientific reports Bd. 15, 24.2.2025, Nr. 1, date:12.2025: 1-10
	41804	Validation of a Natural Language Machine Learning Model for Safety Literature Surveillance Enthalten in Drug safety Bd. 47, 8.11.2023, Nr. 1, date:1.2024: 71-80
	41805	Validation of machine learning models for estimation of left ventricular ejection fraction on point-of-care ultrasound: insights on features that impact performance Enthalten in Echo Research and Practice Bd. 11, 28.3.2024, Nr. 1, date:12.2024: 1-10
	41806	Validation of machine learning models to detect amyloid pathologies across institutions Enthalten in Acta Neuropathologica Communications Bd. 8, 28.4.2020, Nr. 1, date:12.2020: 1-13
	41807	Validation of syncope short-term outcomes prediction by machine learning models in an Italian emergency department cohort Enthalten in Internal and emergency medicine Bd. 20, 16.7.2025, Nr. 5, date:8.2025: 1597-1605
	41808	Validation of the Toronto recurrence inference using machine-learning for post-transplant hepatocellular carcinoma model Enthalten in Communications medicine Bd. 5, 9.7.2025, Nr. 1, date:12.2025: 1-9
	41809	Validity of Machine Learning in Assessing Large Texts Through Sustainability Indicators Enthalten in Social indicators research Bd. 166, 26.1.2023, Nr. 2, date:4.2023: 323-337
	41810	Value and limitations of machine learning in high-frequency nutrient data for gap-filling, forecasting, and transport process interpretation Enthalten in Environmental monitoring and assessment Bd. 195, 27.6.2023, Nr. 7, date:7.2023: 1-18

41801 - 41810 von 42026

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