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

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Artikel 38761 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
Online Ressource
Artikel 38762 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
Online Ressource
Artikel 38763 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
Online Ressource
Artikel 38764 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
Online Ressource
Artikel 38765 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
Online Ressource
Artikel 38766 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
Online Ressource
Artikel 38767 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
Online Ressource
Artikel 38768 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
Online Ressource
Artikel 38769 Value of Geologically Derived Features in Machine Learning Facies Classification
Enthalten in Mathematical geosciences Bd. 52, 16.11.2019, Nr. 1, date:1.2020: 5-29
Online Ressource
Artikel 38770 Value of machine learning in predicting TAVI outcomes
Enthalten in Netherlands heart journal Bd. 27, 20.5.2019, Nr. 9, date:9.2019: 443-450
Online Ressource


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