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171 - 180 von 196

	171	Predicting survival of advanced laryngeal squamous cell carcinoma: comparison of machine learning models and Cox regression models Enthalten in Scientific reports Bd. 13, 28.10.2023, Nr. 1, date:12.2023: 1-9
	172	Prediction of Adhesion Strength Using Extreme Learning Machine and Support Vector Regression Optimized with Genetic Algorithm Enthalten in The Arabian journal for science and engineering Bd. 45, 4.6.2020, Nr. 8, date:8.2020: 6985-7004
	173	Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods Enthalten in BMC medical informatics and decision making Bd. 15, 14.10.2015, Nr. 1, date:12.2015: 1-10
	174	Prediction of irrigation water quality indices based on machine learning and regression models Enthalten in Applied water science Bd. 12, 21.3.2022, Nr. 4, date:4.2022: 1-14
	175	Prediction of preterm birth in multiparous women using logistic regression and machine learning approaches Enthalten in Scientific reports Bd. 14, 20.9.2024, Nr. 1, date:12.2024: 1-9
	176	Predictors of High Healthcare Cost Among Patients with Generalized Myasthenia Gravis: A Combined Machine Learning and Regression Approach from a US Payer Perspective Enthalten in Applied health economics and health policy Bd. 22, 13.7.2024, Nr. 5, date:9.2024: 735-747
	177	Quantifying the effects of neutron dose, dose protraction, age and sex on mouse survival using parametric regression and machine learning on a 21,000-mouse data set Enthalten in Scientific reports Bd. 13, 9.12.2023, Nr. 1, date:12.2023: 1-13
	178	Regression prediction of tobacco chemical components during curing based on color quantification and machine learning Enthalten in Scientific reports Bd. 14, 7.11.2024, Nr. 1, date:12.2024: 1-16
	179	Revealing accuracy in climate dynamics: enhancing evapotranspiration estimation using advanced quantile regression and machine learning models Enthalten in Applied water science Bd. 14, 24.6.2024, Nr. 7, date:7.2024: 1-22
	180	Revised Empirical Relations Between Earthquake Source and Rupture Parameters by Regression and Machine Learning Algorithms Enthalten in Pure and applied geophysics Bd. 180, 5.9.2023, Nr. 10, date:10.2023: 3477-3494

171 - 180 von 196

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