|
27581 |
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
|
|
|
|
27582 |
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
|
|
|
|
27583 |
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
|
|
|
|
27584 |
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
|
|
|
|
27585 |
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
|
|
|
|
27586 |
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
|
|
|
|
27587 |
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
|
|
|
|
27588 |
Unravelling individual rhythmic abilities using machine learning
Enthalten in Scientific reports Bd. 14, 11.1.2024, Nr. 1, date:12.2024: 1-16
|
|
|
|
27589 |
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
|
|
|
|
27590 |
Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression
Enthalten in Nature Communications Bd. 16, 8.2.2025, Nr. 1, date:12.2025: 1-15
|
|
Administration
