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11901 |
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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11902 |
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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11903 |
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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11904 |
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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11905 |
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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11906 |
Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis
Enthalten in BMC medical informatics and decision making Bd. 20, 29.9.2020, Nr. 1, date:12.2020: 1-13
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11907 |
Using machine learning on clinical data to identify unexpected patterns in groups of COVID-19 patients
Enthalten in Scientific reports Bd. 13, 8.2.2023, Nr. 1, date:12.2023: 1-11
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11908 |
Using machine learning prediction models for quality control: a case study from the automotive industry
Enthalten in Computational management science Bd. 20, 16.3.2023, Nr. 1, date:12.2023: 1-28
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11909 |
Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review
Enthalten in Diagnostic and prognostic research Bd. 4, 2.10.2020, Nr. 1, date:12.2020: 1-12
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11910 |
Using machine-learning strategies to solve psychometric problems
Enthalten in Scientific reports Bd. 12, 7.11.2022, Nr. 1, date:12.2022: 1-9
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Administration
