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27061 - 27070 von 32527

	27061	Meteorological factors cannot be ignored in machine learning-based methods for predicting dengue, a systematic review Enthalten in International journal of biometeorology Bd. 68, 27.12.2023, Nr. 3, date:3.2024: 401-410
	27062	Meteorological factors for subarachnoid hemorrhage in the greater Düsseldorf area revisited: a machine learning approach to predict the probability of admission of patients with subarachnoid hemorrhage Enthalten in Acta neurochirurgica Bd. 162, 23.11.2019, Nr. 1, date:1.2020: 187-195
	27063	Methanol tolerance upgrading of Proteus mirabilis lipase by machine learning-assisted directed evolution Enthalten in Systems microbiology and biomanufacturing Bd. 3, 9.5.2023, Nr. 3, date:7.2023: 427-439
	27064	Method for Separating Extensive Air Showers by Primary Mass Using Machine Learning for a Sphere-Type Cherenkov Telescope Enthalten in Moskovskij gosudarstvennyj universitet im. M.V. Lomonosova: Moscow University physics bulletin Bd. 78, 17.1.2024, Nr. 1, date:12.2023: S25-S31
	27065	Method to Generate Complex Predictive Features for Machine Learning-Based Prediction of the Local Structure and Functions of Proteins Enthalten in Molecular biology Bd. 57, 30.3.2023, Nr. 1, date:2.2023: 136-145
	27066	Methodik der künstlichen Intelligenz Enthalten in Monatsschrift Kinderheilkunde Bd. 173, 19.2.2025, Nr. 4, date:4.2025: 282-289
	27067	Methodik zur Absicherung von KI im Fahrzeug Enthalten in Automobiltechnische Zeitschrift Bd. 124, 8.7.2022, Nr. 7-8, date:7.2022: 58-63
	27068	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
	27069	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
	27070	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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