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10961 |
Predicting stone composition via machine-learning models trained on intra-operative endoscopic digital images
Enthalten in BMC urology Bd. 24, 3.1.2024, Nr. 1, date:12.2024: 1-8
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10962 |
Predicting stroke occurrences: a stacked machine learning approach with feature selection and data preprocessing
Enthalten in BMC bioinformatics Bd. 25, 15.10.2024, Nr. 1, date:12.2024: 1-23
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10963 |
Predicting stroke severity of patients using interpretable machine learning algorithms
Enthalten in European journal of medical research Bd. 29, 14.11.2024, Nr. 1, date:12.2024: 1-23
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10964 |
Predicting subnational GDP in Vietnam with remote sensing data: a machine learning approach
Enthalten in Letters in spatial and resource sciences Bd. 18, 20.3.2025, Nr. 1, date:12.2025: 1-12
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10965 |
Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models
Enthalten in BMC psychiatry Bd. 24, 21.11.2024, Nr. 1, date:12.2024: 1-12
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10966 |
Predicting superconducting transition temperature through advanced machine learning and innovative feature engineering
Enthalten in Scientific reports Bd. 14, 17.2.2024, Nr. 1, date:12.2024: 1-12
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10967 |
Predicting surface soil pH spatial distribution based on three machine learning methods: a case study of Heilongjiang Province
Enthalten in Environmental monitoring and assessment Bd. 197, 8.3.2025, Nr. 4, date:4.2025: 1-16
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10968 |
Predicting survival in glioblastoma with multimodal neuroimaging and machine learning
Enthalten in Journal of neuro-oncology Bd. 164, 5.9.2023, Nr. 2, date:9.2023: 309-320
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10969 |
Predicting survival of advanced laryngeal squamous cell carcinoma: comparison of machine learning models and Cox regression models
Enthalten in Scientific reports Bd. 13, 28.10.2023, Nr. 1, date:12.2023: 1-9
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10970 |
Predicting symptomatic kidney stones using machine learning algorithms: insights from the Fasa adults cohort study (FACS)
Enthalten in Biomed Central (London): BMC Research Notes Bd. 17, 24.10.2024, Nr. 1, date:12.2024: 1-10
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Administration
