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25591 |
Predicting radiocephalic arteriovenous fistula success with machine learning
Enthalten in npj digital medicine Bd. 5, 25.10.2022, Nr. 1, date:12.2022: 1-9
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25592 |
Predicting rainfall in Nineveh Governorate in northern Iraq using machine learning time-series forecasting algorithm
Enthalten in Arabian journal of geosciences Bd. 16, 16.11.2023, Nr. 12, date:12.2023: 1-17
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25593 |
Predicting rainfall using machine learning, deep learning, and time series models across an altitudinal gradient in the North-Western Himalayas
Enthalten in Scientific reports Bd. 14, 13.11.2024, Nr. 1, date:12.2024: 1-18
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25594 |
Predicting rapid kidney function decline in middle-aged and elderly Chinese adults using machine learning techniques
Enthalten in BMC medical informatics and decision making Bd. 25, 6.6.2025, Nr. 1, date:12.2025: 1-14
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25595 |
Predicting recurrent cases of intussusception in children after air enema reduction with machine learning models
Enthalten in Pediatric surgery international Bd. 39, 28.11.2022, Nr. 1, date:12.2023: 1-8
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25596 |
Predicting refractive index of inorganic compounds using machine learning
Enthalten in Scientific reports Bd. 14, 15.10.2024, Nr. 1, date:12.2024: 1-11
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25597 |
Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data
Enthalten in Translational Psychiatry Bd. 12, 1.9.2022, Nr. 1, date:12.2022: 1-10
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25598 |
Predicting renal damage in children with IgA vasculitis by machine learning
Enthalten in Pediatric nephrology Bd. 39, 25.6.2024, Nr. 10, date:10.2024: 2997-3004
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25599 |
Predicting Renal Toxicity of Compounds with Deep Learning and Machine Learning Methods
Enthalten in SN Computer Science Bd. 4, 21.10.2023, Nr. 6, date:11.2023: 1-15
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25600 |
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning
Enthalten in Annals of intensive care Bd. 12, 20.10.2022, Nr. 1, date:12.2022: 1-9
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