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32841 - 32850 von 33105

	32841	Utilizing graph Fourier transform for automatic Alzheimer’s disease detection from EEG signals Enthalten in International journal of information technology Bd. 16, 27.1.2024, Nr. 3, date:3.2024: 1653-1659
	32842	Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to fatty acid metabolism-associated genes Enthalten in Scientific reports Bd. 14, 22.11.2024, Nr. 1, date:12.2024: 1-15
	32843	Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to purine metabolism-associated genes Enthalten in Scientific reports Bd. 15, 2.1.2025, Nr. 1, date:12.2025: 1-18
	32844	Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI) Enthalten in BMC psychiatry Bd. 25, 18.3.2025, Nr. 1, date:12.2025: 1-12
	32845	Utilizing machine learning algorithms for predicting risk factors for bone metastasis from right-sided colon carcinoma after complete mesocolic excision: a 10-year retrospective multicenter study Enthalten in Discover oncology Bd. 15, 19.9.2024, Nr. 1, date:12.2024: 1-16
	32846	Utilizing machine learning algorithms to improve predictions of groundwater quality indices for irrigation in an arid environment of Saudi Arabia Enthalten in Environmental earth sciences Bd. 84, 27.6.2025, Nr. 13, date:7.2025: 1-29
	32847	Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks Enthalten in BMC medical informatics and decision making Bd. 22, 9.11.2022, Nr. 1, date:12.2022: 1-16
	32848	Utilizing Machine Learning and DSAS to Analyze Historical Trends and Forecast Future Shoreline Changes Along the River Niger, Niger Delta Enthalten in Water conservation science and engineering Bd. 9, 10.12.2024, Nr. 2, date:12.2024: 1-21
	32849	Utilizing machine learning and molecular dynamics for enhanced drug delivery in nanoparticle systems Enthalten in Scientific reports Bd. 14, 4.11.2024, Nr. 1, date:12.2024: 1-17
	32850	Utilizing machine learning approaches to investigate the relationship between cystatin C and serious complications in esophageal cancer patients after esophagectomy Enthalten in Supportive care in cancer Bd. 33, 16.12.2024, Nr. 1, date:1.2025: 1-14

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