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12081 - 12090 von 15140

	12081	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
	12082	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
	12083	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
	12084	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
	12085	Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned Enthalten in Machine learning Bd. 113, 17.7.2024, Nr. 9, date:9.2024: 6977-7010
	12086	Methodology for biomarker discovery with reproducibility in microbiome data using machine learning Enthalten in BMC bioinformatics Bd. 25, 15.1.2024, Nr. 1, date:12.2024: 1-17
	12087	Methodology for contamination detection and reduction in fermentation processes using machine learning Enthalten in Bioprocess and biosystems engineering Bd. 48, 26.6.2025, Nr. 9, date:9.2025: 1547-1563
	12088	Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-5-2024, 2024: 259-265. 7 S.
	12089	Methodology for the Characterisation of Linear Rail Transport Infrastructures with the Machine Learning Technique and Their Application in a Hyperloop Network Enthalten in Urban rail transit Bd. 7, 20.5.2021, Nr. 3, date:9.2021: 159-176
	12090	Methodology of the quantitative assessment of the moisture content of saline brick walls in historic buildings using machine learning Enthalten in Archives of civil and mechanical engineering Bd. 23, 12.5.2023, Nr. 3, date:8.2023: 1-15

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