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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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M. Suleimenova

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2 papers indexed here

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Open access Sep 2026

Machine Learning for Identification of Cirrhosis in Autoimmune Hepatitis Using Routine Biomarkers and Liver Elastography: Development and External Validation of an Interpretable Classification Model

Background: Autoimmune hepatitis (AIH) is a chronic immune-mediated liver disease that may progress to cirrhosis. This study aimed to develop and externally validate interpretable machine-learning models for the classification of prevalent cirrhosis in patients with AIH. Methods: The development cohort included 55 pati...

N. Ashimova, S. Abzaliyeva, Araylym Maldanova et al. · 0 citations
Open access Sep 2026

Hybrid Mechanistic and Machine Learning Framework for Interpretable Cardiovascular Risk Prediction Across Public Cohorts

Overall, cohort-specific machine-learning models demonstrated stronger discrimination, while the external applicability of the mechanistic framework depended on the alignment of available predictors and clinical endpoints in the target cohort.

M. Suleimenova, R. Amanova, Arailym Keneskanova · 0 citations

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