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34751 |
Using machine learning in pediatric cardio-oncology: we have the questions, we need the answers
Enthalten in Cardio-Oncology Bd. 10, 6.11.2024, Nr. 1, date:12.2024: 1-3
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34752 |
Using machine learning method to predict food waste in catering industry under high resolution: a case in Dongguan
Enthalten in Journal of material cycles and waste management Bd. 25, 20.5.2023, Nr. 4, date:7.2023: 2442-2456
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34753 |
Using Machine Learning Methods to Develop an Algorithm for Recognizing a Risk of Waterspout Occurrence off the Black Sea Coast of Russia
Enthalten in Russian meteorology and hydrology Bd. 49, 27.6.2024, Nr. 4, date:4.2024: 363-369
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34754 |
Using machine learning methods to predict 28-day mortality in patients with hepatic encephalopathy
Enthalten in BMC gastroenterology Bd. 23, 6.4.2023, Nr. 1, date:12.2023: 1-11
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34755 |
Using machine learning methods to predict electric vehicles penetration in the automotive market
Enthalten in Scientific reports Bd. 13, 23.5.2023, Nr. 1, date:12.2023: 1-16
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34756 |
Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU
Enthalten in BMC medical informatics and decision making Bd. 20, 2.10.2020, Nr. 1, date:12.2020: 1-10
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34757 |
Using Machine Learning Methods to Predict the Magnitude and the Direction of Mask Fragments Displacement in Optical Proximity Correction (OPC)
Enthalten in Optical memory and neural networks Bd. 30, 29.12.2021, Nr. 4, date:10.2021: 291-297
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34758 |
Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
Enthalten in Scientific reports Bd. 13, 22.12.2023, Nr. 1, date:12.2023: 1-13
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34759 |
Using machine learning models to improve stroke risk level classification methods of China national stroke screening
Enthalten in BMC medical informatics and decision making Bd. 19, 10.12.2019, Nr. 1, date:12.2019: 1-7
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34760 |
Using machine-learning models to predict extubation failure in neonates with bronchopulmonary dysplasia
Enthalten in BMC pulmonary medicine Bd. 24, 1.7.2024, Nr. 1, date:12.2024: 1-9
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Administration
