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Ergebnis der Suche nach: "Machine Learning"
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25891 - 25900 von 28463
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Artikel 25891 Prognosis of thyroid carcinoma patients with osseous metastases: an SEER-based study with machine learning
Enthalten in Annals of nuclear medicine Bd. 37, 3.3.2023, Nr. 5, date:5.2023: 289-299
Online Ressource
Artikel 25892 Prognosis prediction in traumatic brain injury patients using machine learning algorithms
Enthalten in Scientific reports Bd. 13, 18.1.2023, Nr. 1, date:12.2023: 1-15
Online Ressource
Artikel 25893 Prognostic assessment capability of a five-gene signature in pancreatic cancer: a machine learning based-study
Enthalten in BMC gastroenterology Bd. 23, 11.3.2023, Nr. 1, date:12.2023: 1-10
Online Ressource
Artikel 25894 Prognostic effects of glycaemic variability on diastolic heart failure and type 2 diabetes mellitus: insights and 1-year mortality machine learning prediction model
Enthalten in Diabetology & metabolic syndrome Bd. 16, 23.11.2024, Nr. 1, date:12.2024: 1-15
Online Ressource
Artikel 25895 Prognostic model for log odds of negative lymph node in locally advanced rectal cancer via interpretable machine learning
Enthalten in Scientific reports Bd. 15, 7.3.2025, Nr. 1, date:12.2025: 1-13
Online Ressource
Artikel 25896 Prognostic model identification of ribosome biogenesis-related genes in pancreatic cancer based on multiple machine learning analyses
Enthalten in Discover oncology Bd. 16, 24.5.2025, Nr. 1, date:12.2025: 1-28
Online Ressource
Artikel 25897 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
Online Ressource
Artikel 25898 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
Online Ressource
Artikel 25899 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
Online Ressource
Artikel 25900 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
Online Ressource


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