|
11401 |
Predicting radiation pneumonitis in lung cancer using machine learning and multimodal features: a systematic review and meta-analysis of diagnostic accuracy
Enthalten in BMC cancer Bd. 24, 5.11.2024, Nr. 1, date:12.2024: 1-18
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11402 |
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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|
11403 |
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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11404 |
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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11405 |
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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11406 |
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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11407 |
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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11408 |
Predicting responses to platin chemotherapy agents with biochemically-inspired machine learning
Enthalten in Signal transduction and targeted therapy Bd. 4, 11.1.2019, Nr. 1, date:12.2019: 1-12
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11409 |
Predicting responsiveness to fixed-dose methylene blue in adult patients with septic shock using interpretable machine learning: a retrospective study
Enthalten in Scientific reports Bd. 15, 1.3.2025, Nr. 1, date:12.2025: 1-12
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|
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11410 |
Predicting retracted research: a dataset and machine learning approaches
Enthalten in Research integrity and peer review Bd. 10, 11.6.2025, Nr. 1, date:12.2025: 1-10
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Administration
