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26261 |
Prognostic models for upper urinary tract urothelial carcinoma patients after radical nephroureterectomy based on a novel systemic immune-inflammation score with machine learning
Enthalten in BMC cancer Bd. 23, 22.6.2023, Nr. 1, date:12.2023: 1-15
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26262 |
Prognostic nutritional index and diabetic peripheral neuropathy in type 2 diabetes: a machine learning approach
Enthalten in Nutrition & metabolism Bd. 22, 25.3.2025, Nr. 1, date:12.2025: 1-10
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26263 |
Prognostic prediction for HER2-low breast cancer patients using a novel machine learning model
Enthalten in BMC cancer Bd. 24, 29.11.2024, Nr. 1, date:12.2024: 1-15
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26264 |
Prognostic risk modeling of endometrial cancer using programmed cell death-related genes: a comprehensive machine learning approach
Enthalten in Discover oncology Bd. 16, 8.3.2025, Nr. 1, date:12.2025: 1-18
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26265 |
Prognostic significance of chest CT severity score in mortality prediction of COVID-19 patients, a machine learning study
Enthalten in The Egyptian Journal of Radiology and Nuclear Medicine Bd. 54, 20.4.2023, Nr. 1, date:12.2023: 1-9
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26266 |
Prognostic significance of migrasomes in neuroblastoma through machine learning and multi-omics
Enthalten in Scientific reports Bd. 14, 18.7.2024, Nr. 1, date:12.2024: 1-16
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26267 |
Prognostic subgroups of chronic pain patients using latent variable mixture modeling within a supervised machine learning framework
Enthalten in Scientific reports Bd. 14, 31.5.2024, Nr. 1, date:12.2024: 1-12
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26268 |
Prognostic value of glycaemic variability for mortality in critically ill atrial fibrillation patients and mortality prediction model using machine learning
Enthalten in Cardiovascular diabetology Bd. 23, 26.11.2024, Nr. 1, date:12.2024: 1-15
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26269 |
Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach
Enthalten in Scientific reports Bd. 10, 25.11.2020, Nr. 1, date:12.2020: 1-9
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26270 |
Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning
Enthalten in Scientific reports Bd. 8, 26.7.2018, Nr. 1, date:12.2018: 1-19
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