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16351 |
Using machine learning to mine mental health diagnostic groups from emergency department presentations before and during the COVID-19 pandemic
Enthalten in Discover mental health Bd. 3, 6.11.2023, Nr. 1, date:12.2023: 1-22
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16352 |
Using machine learning to predict artistic styles: an analysis of trends and the research agenda
Enthalten in Artificial intelligence review Bd. 57, 15.4.2024, Nr. 5, date:5.2024: 1-66
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16353 |
Using machine learning to predict deterioration of symptoms in COPD patients within a telemonitoring program
Enthalten in Scientific reports Bd. 15, 27.2.2025, Nr. 1, date:12.2025: 1-12
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16354 |
Using machine learning to predict five-year transplant-free survival among infants with hypoplastic left heart syndrome
Enthalten in Scientific reports Bd. 14, 24.2.2024, Nr. 1, date:12.2024: 1-9
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16355 |
Using machine learning to predict habitat suitability of sloth bears at multiple spatial scales
Enthalten in Ecological Processes Bd. 10, 29.6.2021, Nr. 1, date:12.2021: 1-12
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16356 |
Using machine learning to predict individual patient toxicities from cancer treatments
Enthalten in Supportive care in cancer Bd. 30, 25.5.2022, Nr. 9, date:9.2022: 7397-7406
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16357 |
Using machine learning to predict links and improve Steiner tree solutions to team formation problems - a cross company study
Enthalten in Applied network science Bd. 5, 27.8.2020, Nr. 1, date:12.2020: 1-19
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16358 |
Using machine learning to predict outcomes following transcarotid artery revascularization
Enthalten in Scientific reports Bd. 15, 31.1.2025, Nr. 1, date:12.2025: 1-18
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16359 |
Using machine learning to predict processes and morphometric features of watershed
Enthalten in Scientific reports Bd. 13, 25.5.2023, Nr. 1, date:12.2023: 1-17
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16360 |
Using machine learning to predict protein–protein interactions between a zombie ant fungus and its carpenter ant host
Enthalten in Scientific reports Bd. 13, 24.8.2023, Nr. 1, date:12.2023: 1-16
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Administration
