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27721 - 27730 von 27926

	27721	Utilizing machine learning to facilitate the early diagnosis of posterior circulation stroke Enthalten in BMC neurology Bd. 24, 7.5.2024, Nr. 1, date:12.2024: 1-12
	27722	Utilizing machine learning to identify fall predictors in India's aging population: findings from the LASI Enthalten in BMC geriatrics Bd. 25, 17.3.2025, Nr. 1, date:12.2025: 1-11
	27723	Utilizing machine learning to model interdependency of bulk molecular weight, solution concentration, and thickness of spin coated polystyrene thin films Enthalten in Materials Research Society: MRS communications Bd. 14, 12.2.2024, Nr. 2, date:4.2024: 230-236
	27724	Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine) Enthalten in Scientific reports Bd. 15, 24.1.2025, Nr. 1, date:12.2025: 1-13
	27725	Utilizing machine learning to predict participant response to follow-up health surveys in the Millennium Cohort Study Enthalten in Scientific reports Bd. 14, 28.10.2024, Nr. 1, date:12.2024: 1-12
	27726	Utilizing machine learning to predict post-treatment outcomes in chronic non-specific neck pain patients undergoing cervical extension traction Enthalten in Scientific reports Bd. 14, 23.5.2024, Nr. 1, date:12.2024: 1-13
	27727	Utilizing Ni(II) complex for metal drug-gel particles in cervical cancer treatment and designing novel drugs through machine learning methods Enthalten in Scientific reports Bd. 14, 5.3.2024, Nr. 1, date:12.2024: 1-9
	27728	Utilizing reinforcement learning for de novo drug design Enthalten in Machine learning Bd. 113, 8.4.2024, Nr. 7, date:7.2024: 4811-4843
	27729	Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand Enthalten in Scientific reports Bd. 15, 11.3.2025, Nr. 1, date:12.2025: 1-12
	27730	Utilizing social media and machine learning for personality and emotion recognition using PERS Enthalten in Neural computing & applications Bd. 35, 5.9.2023, Nr. 33, date:11.2023: 23927-23941

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