|
10891 |
Predicting coronary heart disease with advanced machine learning classifiers for improved cardiovascular risk assessment
Enthalten in Scientific reports Bd. 15, 17.4.2025, Nr. 1, date:12.2025: 1-15
|
|
|
|
10892 |
Predicting COVID-19 exposure risk perception using machine learning
Enthalten in BMC public health Bd. 23, 18.7.2023, Nr. 1, date:12.2023: 1-19
|
|
|
|
10893 |
Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods
Enthalten in BMC medical research methodology Bd. 21, 27.11.2021, Nr. 1, date:12.2021: 1-14
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|
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10894 |
Predicting creep failure life in adhesive-bonded single-lap joints using machine learning
Enthalten in Scientific reports Bd. 15, 26.2.2025, Nr. 1, date:12.2025: 1-17
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|
|
|
10895 |
Predicting Day-Ahead Electricity Market Prices through the Integration of Macroeconomic Factors and Machine Learning Techniques
Enthalten in International journal of computational intelligence systems Bd. 17, 15.1.2024, Nr. 1, date:12.2024: 1-25
|
|
|
|
10896 |
Predicting delayed methotrexate elimination in pediatric acute lymphoblastic leukemia patients: an innovative web-based machine learning tool developed through a multicenter, retrospective analysis
Enthalten in BMC medical informatics and decision making Bd. 23, 3.8.2023, Nr. 1, date:12.2023: 1-12
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|
|
|
10897 |
Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data
Enthalten in Scientific reports Bd. 13, 5.11.2023, Nr. 1, date:12.2023: 1-11
|
|
|
|
10898 |
Predicting dental anxiety in young adults: classical statistical modelling approach versus machine learning approach
Enthalten in BMC oral health Bd. 24, 9.3.2024, Nr. 1, date:12.2024: 1-9
|
|
|
|
10899 |
Predicting dental caries outcomes in young adults using machine learning approach
Enthalten in BMC oral health Bd. 24, 3.5.2024, Nr. 1, date:12.2024: 1-9
|
|
|
|
10900 |
Predicting depression and unravelling its heterogeneous influences in middle-aged and older people populations: a machine learning approach
Enthalten in BMC Psychology Bd. 13, 17.4.2025, Nr. 1, date:12.2025: 1-15
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Administration
