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Ergebnis der Suche nach: "Machine Learning"
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34501 - 34510 von 37534

	34501	Prediction of Oncomelania hupensis distribution in association with climate change using machine learning models Enthalten in Parasites & vectors Bd. 16, 23.10.2023, Nr. 1, date:12.2023: 1-13
	34502	Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning Enthalten in Biomed Central (London): BMC Research Notes Bd. 11, 27.1.2018, Nr. 1, date:12.2018: 1-5
	34503	Prediction of oral squamous cell carcinoma based on machine learning of breath samples: a prospective controlled study Enthalten in BMC oral health Bd. 21, 6.10.2021, Nr. 1, date:12.2021: 1-12
	34504	Prediction of organic compound aqueous solubility using machine learning: a comparison study of descriptor-based and fingerprints-based models Enthalten in Journal of cheminformatics Bd. 15, 18.10.2023, Nr. 1, date:12.2023: 1-16
	34505	Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning Enthalten in Scientific reports Bd. 13, 9.12.2023, Nr. 1, date:12.2023: 1-8
	34506	Prediction of overall survival in stage II and III colon cancer through machine learning of rapidly-acquired proteomics Enthalten in Cell discovery Bd. 10, 13.8.2024, Nr. 1, date:12.2024: 1-3
	34507	Prediction of oxidation resistance of Ti-V-Cr burn resistant titanium alloy based on machine learning Enthalten in npj Materials degradation Bd. 9, 14.1.2025, Nr. 1, date:12.2025: 1-12
	34508	Prediction of P-glycoprotein inhibitors with machine learning classification models and 3D-RISM-KH theory based solvation energy descriptors Enthalten in Journal of computer aided molecular design Bd. 33, 19.11.2019, Nr. 11, date:11.2019: 965-971
	34509	Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning Enthalten in Cancer imaging Bd. 23, 18.9.2023, Nr. 1, date:12.2023: 1-11
	34510	Prediction of patent grant and interpreting the key determinants: an application of interpretable machine learning approach Enthalten in Scientometrics Bd. 128, 22.6.2023, Nr. 9, date:9.2023: 4933-4969

34501 - 34510 von 37534

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