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6011 - 6020 von 6827
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Artikel 6011 Machine learning algorithms using national registry data to predict loss to follow-up during tuberculosis treatment
Enthalten in BMC public health Bd. 24, 23.5.2024, Nr. 1, date:12.2024: 1-9 		Online Ressource
Artikel 6012 Machine Learning Algorithms Versus Classical Regression Models in Pre-Eclampsia Prediction: A Systematic Review
Enthalten in Current hypertension reports Bd. 26, 28.5.2024, Nr. 7, date:7.2024: 309-323 		Online Ressource
Artikel 6013 Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis
Enthalten in BMC medical informatics and decision making Bd. 22, 1.8.2022, Nr. 1, date:12.2022: 1-16 		Online Ressource
Artikel 6014 Machine learning and deep learning algorithms in stroke medicine: a systematic review of hemorrhagic transformation prediction models
Enthalten in Journal of neurology Bd. 272, 12.12.2024, Nr. 1, date:1.2025: 1-21 		Online Ressource
Artikel 6015 Machine Learning and Metaheuristic Algorithms for Voice-Based Authentication: A Mobile Banking Case Study
Enthalten in International journal of computational intelligence systems Bd. 17, 25.11.2024, Nr. 1, date:12.2024: 1-21 		Online Ressource
Artikel 6016 Machine learning approach for differentiating iron deficiency anemia and thalassemia using random forest and gradient boosting algorithms
Enthalten in Scientific reports Bd. 15, 15.5.2025, Nr. 1, date:12.2025: 1-8 		Online Ressource
Artikel 6017 Machine learning-based algorithms applied to drug prescriptions and other healthcare services in the Sicilian claims database to identify acromegaly as a model for the earlier diagnosis of rare diseases
Enthalten in Scientific reports Bd. 14, 14.3.2024, Nr. 1, date:12.2024: 1-13 		Online Ressource
Artikel 6018 Machine-learning-based predictions of imprinting quality using ensemble and non-linear regression algorithms
Enthalten in Scientific reports Bd. 13, 26.7.2023, Nr. 1, date:12.2023: 1-9 		Online Ressource
Artikel 6019 Machine learning–couched treatment algorithms tailored to individualized profile of patients with primary anterior chamber angle closure predisposed to the glaucomatous optic neuropathy
Enthalten in European Association for Predictive, Preventive and Personalised Medicine: The EPMA journal Bd. 14, 17.8.2023, Nr. 3, date:9.2023: 527-538 		Online Ressource
Artikel 6020 Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data
Enthalten in Scientific reports Bd. 13, 31.10.2023, Nr. 1, date:12.2023: 1-10 		Online Ressource


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