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42161 - 42170 von 42228

	42161	Which insulin resistance indices best predict future frailty progression in a cardiovascular-kidney-metabolic syndrome stage 0–3 population: a national prospective cohort and machine learning study Enthalten in Diabetology & metabolic syndrome Bd. 17, 13.11.2025, Nr. 1, date:12.2025: 1-16
	42162	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
	42163	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
	42164	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
	42165	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
	42166	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
	42167	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
	42168	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
	42169	Why did individuals seeking COVID-19 advice return to internet hospitals for follow-up in the early pandemic: Insights from machine learning Enthalten in BMC public health Bd. 25, 10.11.2025, Nr. 1, date:12.2025: 1-16
	42170	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