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26191 |
Predictive characteristics and model development for acute heart failure preceding hip fracture surgery in elderly hypertensive patients: a retrospective machine learning approach
Enthalten in BMC geriatrics Bd. 24, 28.3.2024, Nr. 1, date:12.2024: 1-12
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26192 |
Predictive determinants of overall survival among re-infected COVID-19 patients using the elastic-net regularized Cox proportional hazards model: a machine-learning algorithm
Enthalten in BMC public health Bd. 22, 5.1.2022, Nr. 1, date:12.2022: 1-10
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26193 |
Predictive Diagnosis of Glaucoma Based on Analysis of Focal Notching along the Neuro-Retinal Rim Using Machine Learning
Enthalten in Pattern recognition and image analysis Bd. 29, 18.9.2019, Nr. 3, date:7.2019: 523-532
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26194 |
Predictive etiological classification of acute ischemic stroke through interpretable machine learning algorithms: a multicenter, prospective cohort study
Enthalten in BMC medical research methodology Bd. 24, 10.9.2024, Nr. 1, date:12.2024: 1-13
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26195 |
Predictive factors for degenerative lumbar spinal stenosis: a model obtained from a machine learning algorithm technique
Enthalten in BMC musculoskeletal disorders Bd. 24, 23.3.2023, Nr. 1, date:12.2023: 1-8
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26196 |
Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learning
Enthalten in Scientific reports Bd. 15, 25.5.2025, Nr. 1, date:12.2025: 1-13
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26197 |
Predictive machine learning and geospatial modeling reveal PM10 hotspots and guide targeted air pollution interventions in Addis Ababa, Ethiopia
Enthalten in Discover applied sciences Bd. 7, 26.3.2025, Nr. 4, date:4.2025: 1-26
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26198 |
Predictive machine learning and multimodal data to develop highly sensitive, composite biomarkers of disease progression in Friedreich ataxia
Enthalten in Scientific reports Bd. 15, 21.5.2025, Nr. 1, date:12.2025: 1-13
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26199 |
Predictive machine learning approaches for the microstructural behavior of multiphase zirconium alloys
Enthalten in Scientific reports Bd. 13, 3.4.2023, Nr. 1, date:12.2023: 1-12
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26200 |
Predictive machine learning models for anticipating loss to follow-up in tuberculosis patients throughout anti-TB treatment journey
Enthalten in Scientific reports Bd. 14, 21.10.2024, Nr. 1, date:12.2024: 1-9
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