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10881 |
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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10882 |
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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|
10883 |
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
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10884 |
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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10885 |
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
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|
10886 |
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
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10887 |
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
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|
|
|
10888 |
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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|
10889 |
Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data
Enthalten in Scientific reports Bd. 15, 4.4.2025, Nr. 1, date:12.2025: 1-8
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|
10890 |
Predicting detonation cell size of biogas–oxygen mixtures using machine learning models
Enthalten in Shock waves Bd. 34, 3.6.2024, Nr. 2, date:4.2024: 129-137
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