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26691 |
Relationship between atherogenic index of plasma and length of stay in critically ill patients with atherosclerotic cardiovascular disease: a retrospective cohort study and predictive modeling based on machine learning
Enthalten in Cardiovascular diabetology Bd. 24, 28.2.2025, Nr. 1, date:12.2025: 1-16
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26692 |
Relationships between minerals’ intake and blood homocysteine levels based on three machine learning methods: a large cross-sectional study
Enthalten in Nutrition & Diabetes Bd. 14, 1.6.2024, Nr. 1, date:12.2024: 1-10
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26693 |
Relationships between motor and cognitive functions and subsequent post-stroke mood disorders revealed by machine learning analysis
Enthalten in Scientific reports Bd. 10, 11.11.2020, Nr. 1, date:12.2020: 1-10
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26694 |
Relative performance evaluation of machine learning algorithms for land use classification using multispectral moderate resolution data
Enthalten in SN applied sciences Bd. 5, 1.10.2023, Nr. 10, date:10.2023: 1-18
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26695 |
Relaxometric learning: a pattern recognition method for T 2 relaxation curves based on machine learning supported by an analytical framework
Enthalten in BMC chemistry Bd. 15, 20.2.2021, Nr. 1, date:12.2021: 1-8
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26696 |
Relay selection scheme based on machine learning for enhancing the physical layer secrecy in cognitive radio networks
Enthalten in Telecommunication systems Bd. 78, 29.6.2021, Nr. 2, date:10.2021: 267-272
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26697 |
Relevance of 18F-DOPA visual and semi-quantitative PET metrics for the diagnostic of Parkinson disease in clinical practice: a machine learning-based inference study
Enthalten in EJNMMI Research Bd. 13, 13.2.2023, Nr. 1, date:12.2023: 1-12
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26698 |
RelHunter: a machine learning method for relation extraction from text
Enthalten in Sociedade Brasileira de Computação: Journal of the Brazilian Computer Society Bd. 16, 8.8.2010, Nr. 3, date:9.2010: 191-199
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26699 |
Reliability analysis in multiple breakdown with controllable phase repair machining system
Enthalten in International journal of information technology Bd. 16, 8.6.2024, Nr. 6, date:8.2024: 3623-3632
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26700 |
Reliability of Machine Learning in functional assessment in cardiac magnetic resonance imaging
Enthalten in Journal of medical imaging and interventional radiology Bd. 11, 26.8.2024, Nr. 1, date:12.2024: 1-6
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