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40721 - 40730 von 40783

	40721	Which model is more efficient in carbon emission prediction research? A comparative study of deep learning models, machine learning models, and econometric models Enthalten in Environmental science and pollution research Bd. 31, 15.2.2024, Nr. 13, date:3.2024: 19500-19515
	40722	Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach Enthalten in Cardiovascular diabetology Bd. 23, 21.6.2024, Nr. 1, date:12.2024: 1-13
	40723	Who was at risk for COVID-19 late in the US pandemic? Insights from a population health machine learning model Enthalten in Medical & biological engineering & computing Bd. 60, 11.5.2022, Nr. 7, date:7.2022: 2039-2049
	40724	Whole-Genome Expression Microarray Combined with Machine Learning to Identify Prognostic Biomarkers for High-Grade Glioma Enthalten in Journal of molecular neuroscience Bd. 64, 3.3.2018, Nr. 4, date:4.2018: 491-500
	40725	Whole-orbit radiomics: machine learning-based multi- and fused- region radiomics signatures for intravenous glucocorticoid response prediction in thyroid eye disease Enthalten in Journal of translational medicine Bd. 22, 13.1.2024, Nr. 1, date:12.2024: 1-14
	40726	Whole-tumor histogram analysis of apparent diffusion coefficient maps with machine learning algorithms for predicting histologic grade of sinonasal squamous cell carcinoma: a preliminary study Enthalten in European archives of oto-rhino-laryngology and head & neck Bd. 280, 9.5.2023, Nr. 9, date:9.2023: 4131-4140
	40727	Why and how to construct an epistemic justification of machine learning? Enthalten in Synthese Bd. 204, 10.8.2024, Nr. 2, date:8.2024: 1-24
	40728	Why does machine learning work really well in many engineering problems? Enthalten in Machine learning for computational science and engineering Bd. 1, 20.8.2025, Nr. 2, date:12.2025: 1-13
	40729	Why Machine Learning Should Be Taught in Medical Schools Enthalten in Medical Science Educator Bd. 32, 24.1.2022, Nr. 2, date:4.2022: 529-532
	40730	Why was this cited? Explainable machine learning applied to COVID-19 research literature Enthalten in Scientometrics Bd. 127, 9.4.2022, Nr. 5, date:5.2022: 2313-2349

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