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27621 |
Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to purine metabolism-associated genes
Enthalten in Scientific reports Bd. 15, 2.1.2025, Nr. 1, date:12.2025: 1-18
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27622 |
Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI)
Enthalten in BMC psychiatry Bd. 25, 18.3.2025, Nr. 1, date:12.2025: 1-12
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27623 |
Utilizing machine learning algorithms for predicting risk factors for bone metastasis from right-sided colon carcinoma after complete mesocolic excision: a 10-year retrospective multicenter study
Enthalten in Discover oncology Bd. 15, 19.9.2024, Nr. 1, date:12.2024: 1-16
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27624 |
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks
Enthalten in BMC medical informatics and decision making Bd. 22, 9.11.2022, Nr. 1, date:12.2022: 1-16
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27625 |
Utilizing Machine Learning and DSAS to Analyze Historical Trends and Forecast Future Shoreline Changes Along the River Niger, Niger Delta
Enthalten in Water conservation science and engineering Bd. 9, 10.12.2024, Nr. 2, date:12.2024: 1-21
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27626 |
Utilizing machine learning and molecular dynamics for enhanced drug delivery in nanoparticle systems
Enthalten in Scientific reports Bd. 14, 4.11.2024, Nr. 1, date:12.2024: 1-17
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27627 |
Utilizing machine learning approaches to investigate the relationship between cystatin C and serious complications in esophageal cancer patients after esophagectomy
Enthalten in Supportive care in cancer Bd. 33, 16.12.2024, Nr. 1, date:1.2025: 1-14
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27628 |
Utilizing machine learning approaches within concrete technology offers an intelligent perspective towards sustainability in the construction industry: a comprehensive review
Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 26.10.2024, Nr. 1, date:1.2025: 1-24
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27629 |
Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea
Enthalten in Aerosol and Air Quality Research Bd. 24, 17.5.2024, Nr. 7, date:7.2024: 1-11
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27630 |
Utilizing machine learning-based QSAR model to overcome standalone consensus docking limitation in beta-lactamase inhibitors screening: a proof-of-concept study
Enthalten in BMC chemistry Bd. 18, 20.12.2024, Nr. 1, date:12.2024: 1-16
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Administration
