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27041 |
When will China’s industrial carbon emissions peak? Evidence from machine learning
Enthalten in Environmental science and pollution research Bd. 30, 27.3.2023, Nr. 20, date:4.2023: 57960-57974
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27042 |
Where Is the Geography? A Study of the Predictors of Obesity Using UK Biobank Data and Machine Learning
Enthalten in Journal of geovisualization and spatial analysis Bd. 7, 12.6.2023, Nr. 2, date:12.2023: 1-21
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27043 |
Where you go is who you are: a study on machine learning based semantic privacy attacks
Enthalten in Journal of Big Data Bd. 11, 12.3.2024, Nr. 1, date:12.2024: 1-31
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27044 |
Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms?
Enthalten in Biomedical engineering online Bd. 22, 29.8.2023, Nr. 1, date:12.2023: 1-25
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27045 |
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
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27046 |
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
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27047 |
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
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27048 |
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
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27049 |
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
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27050 |
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
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