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			11631 | 
		
			
									
						Metagenomic and machine learning-aided identification of biomarkers driving distinctive Cd accumulation features in the root-associated microbiome of two rice cultivars Enthalten in ISME communications Bd. 3, 22.2.2023, Nr. 1, date:12.2023: 1-13
					
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			11632 | 
		
			
									
						Metaheuristic integrated machine learning classification of colon cancer using STFT LASSO and EHO feature extraction from microarray gene expressions Enthalten in Scientific reports Bd. 14, 17.7.2024, Nr. 1, date:12.2024: 1-19
					
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			11633 | 
		
			
									
						Metal oxide-based gas sensor array for VOCs determination in complex mixtures using machine learning Enthalten in Microchimica acta Bd. 191, 13.3.2024, Nr. 4, date:4.2024: 1-20
					
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			11634 | 
		
			
									
						Metamaterial based tri-band compact MIMO antenna system for 5G IoT applications with machine learning performance verification Enthalten in Scientific reports Bd. 15, 2.7.2025, Nr. 1, date:12.2025: 1-22
					
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			11635 | 
		
			
									
						METASPACE-ML: Context-specific metabolite annotation for imaging mass spectrometry using machine learning Enthalten in Nature Communications Bd. 15, 22.10.2024, Nr. 1, date:12.2024: 1-16
					
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			11636 | 
		
			
									
						Metastable vacua from torsion and machine learning Enthalten in The European physical journal / C / Particles and fields Bd. 82, 14.12.2022, Nr. 12, date:12.2022: 1-14
					
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			11637 | 
		
			
									
						Methodological choices and clinical usefulness for machine learning predictions of outcome in Internet-based cognitive behavioural therapy Enthalten in Communications medicine Bd. 4, 10.10.2024, Nr. 1, date:12.2024: 1-11
					
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			11638 | 
		
			
									
						Methodological conduct and risk of bias in studies on prenatal birthweight prediction models using machine learning techniques: a systematic review Enthalten in BMC pregnancy and childbirth Bd. 25, 2.7.2025, Nr. 1, date:12.2025: 1-12
					
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			11639 | 
		
			
									
						Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review Enthalten in BMC medical research methodology Bd. 22, 8.4.2022, Nr. 1, date:12.2022: 1-16
					
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			 | 
			11640 | 
		
			
									
						Methodological guidelines to estimate population-based health indicators using linked data and/or machine learning techniques Enthalten in Archives of public health Bd. 80, 4.1.2022, Nr. 1, date:12.2022: 1-12
					
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