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11401 |
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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11402 |
Predicting rheumatoid arthritis progression from seronegative undifferentiated arthritis using machine learning: a deep learning model trained on the KURAMA cohort and externally validated with the ANSWER cohort
Enthalten in Arthritis Research & Therapy Bd. 27, 26.3.2025, Nr. 1, date:12.2025: 1-10
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11403 |
Predicting rice blast disease: machine learning versus process-based models
Enthalten in BMC bioinformatics Bd. 20, 22.10.2019, Nr. 1, date:12.2019: 1-16
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11404 |
Predicting risk of sepsis, comparison between machine learning methods: a case study of a Virginia hospital
Enthalten in European journal of medical research Bd. 27, 28.10.2022, Nr. 1, date:12.2022: 1-13
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11405 |
Predicting risk of stillbirth and preterm pregnancies with machine learning
Enthalten in Health Information Science and Systems Bd. 8, 25.3.2020, Nr. 1, date:12.2020: 1-12
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11406 |
Predicting rock mass strength from drilling data using synergistic unsupervised and supervised machine learning approaches
Enthalten in Earth science informatics Bd. 18, 12.3.2025, Nr. 3, date:9.2025: 1-15
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11407 |
Predicting salinity levels in the Mekong delta (Viet Nam): analysis of machine learning and deep learning models
Enthalten in Discover artificial intelligence Bd. 5, 29.5.2025, Nr. 1, date:12.2025: 1-35
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11408 |
Predicting saturated hydraulic conductivity from particle size distributions using machine learning
Enthalten in Stochastic environmental research and risk assessment Bd. 39, 19.1.2025, Nr. 2, date:2.2025: 423-435
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11409 |
Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning
Enthalten in Scientific reports Bd. 15, 22.5.2025, Nr. 1, date:12.2025: 1-15
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11410 |
Predicting self-perceived general health status using machine learning: an external exposome study
Enthalten in BMC public health Bd. 23, 31.5.2023, Nr. 1, date:12.2023: 1-17
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