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26851 |
Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation
Enthalten in Journal of biological engineering Bd. 18, 26.7.2024, Nr. 1, date:12.2024: 1-24
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26852 |
Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods
Enthalten in BMC infectious diseases Bd. 25, 15.4.2025, Nr. 1, date:12.2025: 1-18
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26853 |
Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends
Enthalten in Analytical and bioanalytical chemistry Bd. 415, 3.3.2023, Nr. 18, date:7.2023: 3945-3966
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26854 |
Unraveling the determinants of overemployment and underemployment among older workers in Japan: A machine learning approach
Enthalten in The Japanese economic review Bd. 75, 18.11.2024, Nr. 4, date:12.2024: 691-737
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26855 |
Unraveling the impact of abdominal arterial calcifications on kidney transplant waitlist mortality through ensemble machine learning
Enthalten in Scientific reports Bd. 14, 16.10.2024, Nr. 1, date:12.2024: 1-11
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26856 |
Unraveling the link between PTBP1 and severe asthma through machine learning and association rule mining method
Enthalten in Scientific reports Bd. 13, 16.9.2023, Nr. 1, date:12.2023: 1-19
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26857 |
Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets
Enthalten in Archives of toxicology Bd. 97, 21.8.2023, Nr. 11, date:11.2023: 2969-2981
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26858 |
Unraveling the Most Important Predictors of Eudaimonic and Hedonic Well-Being in Korean Adults: A Machine Learning Approach
Enthalten in Journal of happiness studies Bd. 25, 22.8.2024, Nr. 7, date:10.2024: 1-22
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26859 |
Unravelling individual rhythmic abilities using machine learning
Enthalten in Scientific reports Bd. 14, 11.1.2024, Nr. 1, date:12.2024: 1-16
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26860 |
Unravelling intubation challenges: a machine learning approach incorporating multiple predictive parameters
Enthalten in BMC anesthesiology Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-14
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Administration
