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11351 |
Predicting mental health disparities using machine learning for African Americans in Southeastern Virginia
Enthalten in Scientific reports Bd. 15, 18.2.2025, Nr. 1, date:12.2025: 1-14
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11352 |
Predicting metabolic dysfunction associated steatotic liver disease using explainable machine learning methods
Enthalten in Scientific reports Bd. 15, 11.4.2025, Nr. 1, date:12.2025: 1-13
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11353 |
Predicting metastasis in gastric cancer patients: machine learning-based approaches
Enthalten in Scientific reports Bd. 13, 13.3.2023, Nr. 1, date:12.2023: 1-12
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11354 |
Predicting mine water inflow volumes using a decomposition-optimization algorithm-machine learning approach
Enthalten in Scientific reports Bd. 14, 1.8.2024, Nr. 1, date:12.2024: 1-18
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11355 |
Predicting missed health care visits during the COVID-19 pandemic using machine learning methods: evidence from 55,500 individuals from 28 European countries
Enthalten in BMC health services research Bd. 23, 25.5.2023, Nr. 1, date:12.2023: 1-12
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11356 |
Predicting mortality among septic patients presenting to the emergency department–a cross sectional analysis using machine learning
Enthalten in BMC emergency medicine Bd. 21, 12.7.2021, Nr. 1, date:12.2021: 1-8
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11357 |
Predicting mortality and re-hospitalization for heart failure: a machine-learning and cluster analysis on frailty and comorbidity
Enthalten in Aging clinical and experimental research Bd. 35, 18.10.2023, Nr. 12, date:12.2023: 2919-2928
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11358 |
Predicting mortality and risk factors of sepsis related ARDS using machine learning models
Enthalten in Scientific reports Bd. 15, 18.4.2025, Nr. 1, date:12.2025: 1-12
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11359 |
Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes
Enthalten in BMC medical informatics and decision making Bd. 20, 30.12.2020, Nr. 11, date:12.2020: 1-7
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11360 |
Predicting mortality in the very old: a machine learning analysis on claims data
Enthalten in Scientific reports Bd. 12, 19.10.2022, Nr. 1, date:12.2022: 1-9
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Administration
