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Ergebnis der Suche nach: "Machine Learning"
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37341 - 37350 von 37546

	37341	VacPred: Sequence-based prediction of plant vacuole proteins using machine-learning techniques Enthalten in Journal of biosciences Bd. 45, 27.8.2020, Nr. 1, date:12.2020: 1-9
	37342	Valid inference for machine learning-assisted genome-wide association studies Enthalten in Nature genetics Bd. 56, 30.9.2024, Nr. 11, date:11.2024: 2361-2369
	37343	Validating administrative data to identify complex surgical site infections following cardiac implantable electronic device implantation: a comparison of traditional methods and machine learning Enthalten in Antimicrobial resistance and infection control Bd. 11, 10.11.2022, Nr. 1, date:12.2022: 1-9
	37344	Validating The Philippine Mangrove Map 2023 through Capacity Building and Crowdsourcing Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-5-2024, 2024: 243-250. 8 S.
	37345	Validation of a blood biomarker panel for machine learning-based radiation biodosimetry in juvenile and adult C57BL/6 mice Enthalten in Scientific reports Bd. 14, 12.10.2024, Nr. 1, date:12.2024: 1-10
	37346	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
	37347	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
	37348	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
	37349	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
	37350	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

37341 - 37350 von 37546

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