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25641 |
Predicting the need for intubation in the first 24 h after critical care admission using machine learning approaches
Enthalten in Scientific reports Bd. 10, 1.12.2020, Nr. 1, date:12.2020: 1-8
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25642 |
Predicting the optimum compositions of high-performance Cu–Zn alloys via machine learning
Enthalten in Journal of materials research Bd. 35, 1.10.2020, Nr. 20, date:10.2020: 2709-2717
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25643 |
Predicting the outcomes of organic reactions via machine learning: are current descriptors sufficient?
Enthalten in Scientific reports Bd. 7, 15.6.2017, Nr. 1, date:12.2017: 1-9
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25644 |
Predicting the performance of broadband passive optical networks using machine learning
Enthalten in Journal of optical communications Bd. 45, 2023, Nr. s1: s1287-s1294. 08 S.
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25645 |
Predicting the presence of depressive symptoms in the HIV-HCV co-infected population in Canada using supervised machine learning
Enthalten in BMC medical research methodology Bd. 22, 12.8.2022, Nr. 1, date:12.2022: 1-11
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25646 |
Predicting the price of Vietnamese shrimp products exported to the US market using machine learning
Enthalten in Fisheries science Bd. 87, 1.4.2021, Nr. 3, date:5.2021: 411-423
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25647 |
Predicting the prognosis of patients with mild COVID-19 by chest CT based on machine learning
Enthalten in Chinese journal of academic radiology Bd. 7, 5.4.2024, Nr. 2, date:6.2024: 157-163
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25648 |
Predicting the propensity for thermally activated β events in metallic glasses via interpretable machine learning
Enthalten in npj computational materials Bd. 6, 15.12.2020, Nr. 1, date:12.2020: 1-12
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25649 |
Predicting the pulse of urban water demand: a machine learning approach to deciphering meteorological influences
Enthalten in Biomed Central (London): BMC Research Notes Bd. 17, 9.8.2024, Nr. 1, date:12.2024: 1-6
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25650 |
Predicting the Recurrence of Common Bile Duct Stones After ERCP Treatment with Automated Machine Learning Algorithms
Enthalten in Digestive diseases and sciences Bd. 68, 9.5.2023, Nr. 7, date:7.2023: 2866-2877
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