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15751 - 15760 von 15971

	15751	Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study Enthalten in BMC medical informatics and decision making Bd. 23, 11.6.2023, Nr. 1, date:12.2023: 1-11
	15752	Using machine learning to develop a five-item short form of the children’s depression inventory Enthalten in BMC public health Bd. 24, 23.4.2024, Nr. 1, date:12.2024: 1-11
	15753	Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases Enthalten in Scientific reports Bd. 14, 19.11.2024, Nr. 1, date:12.2024: 1-11
	15754	Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment Enthalten in Scientific reports Bd. 15, 18.7.2025, Nr. 1, date:12.2025: 1-18
	15755	Using machine learning to estimate the incidence rate of intimate partner violence Enthalten in Scientific reports Bd. 13, 4.4.2023, Nr. 1, date:12.2023: 1-9
	15756	Using machine learning to explore core risk factors associated with the risk of eating disorders among non-clinical young women in China: A decision-tree classification analysis Enthalten in Journal of eating disorders Bd. 10, 10.2.2022, Nr. 1, date:12.2022: 1-11
	15757	Using machine learning to explore the efficacy of administrative variables in prediction of subjective-wellbeing outcomes in New Zealand Enthalten in Scientific reports Bd. 15, 25.2.2025, Nr. 1, date:12.2025: 1-10
	15758	Using machine learning to find the hidden relationship between RTT and TCP throughput in WiFi Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2021, 20.12.2021, Nr. 1, date:12.2021: 1-18
	15759	Using machine learning to forecast conflict events for use in forced migration models Enthalten in Scientific reports Bd. 15, 2.8.2025, Nr. 1, date:12.2025: 1-14
	15760	Using machine learning to forecast domestic homicide via police data and super learning Enthalten in Scientific reports Bd. 13, 21.12.2023, Nr. 1, date:12.2023: 1-8

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