Madina Suleimenova

Almaty, ALA 050040, Kazakhstan

Last Updated: 09/26/2026

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Found 8 publications

Predicting the Risk of Cardiovascular Diseases in the Elderly Based on Clinical Data and Heart Rate Variability Using Machine Learning.

Predicting the Risk of Cardiovascular Diseases in the Elderly Based on Clinical Data and Heart Rate Variability Using Machine Learning.

Journal: Journal of clinical medicine

Published: May 29, 2026

Use of Machine Learning in Predicting the Risk of Cirrhosis in Autoimmune Hepatitis Based on Clinical and Immunological Indicators.

Use of Machine Learning in Predicting the Risk of Cirrhosis in Autoimmune Hepatitis Based on Clinical and Immunological Indicators.

Journal: Diagnostics (Basel, Switzerland)

Published: February 25, 2026

Multidimensional Visualization and AI-Driven Prediction Using Clinical and Biochemical Biomarkers in Premature Cardiovascular Aging.

Multidimensional Visualization and AI-Driven Prediction Using Clinical and Biochemical Biomarkers in Premature Cardiovascular Aging.

Journal: Biomedicines

Published: September 03, 2025

Composite Membranes Based on MXene and Nanocellulose for Water Purification: Structure, Efficiency, and Future Prospects.

Composite Membranes Based on MXene and Nanocellulose for Water Purification: Structure, Efficiency, and Future Prospects.

Journal: Membranes

Published: August 14, 2025

Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical-Biochemical Parameters.

Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical-Biochemical Parameters.

Journal: Diagnostics (Basel, Switzerland)

Published: June 24, 2025

Immunological Markers of Cardiovascular Pathology in Older Patients.

Immunological Markers of Cardiovascular Pathology in Older Patients.

Journal: Biomedicines

Published: April 10, 2025

A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning.

A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning.

Journal: Diagnostics (Basel, Switzerland)

Published: February 04, 2025

Fusion-Assisted Hydrothermal Synthesis of Technogenic-Waste-Derived Zeolites and Nanocomposites: Synthesis, Characterization, and Mercury (II) Adsorption.

Fusion-Assisted Hydrothermal Synthesis of Technogenic-Waste-Derived Zeolites and Nanocomposites: Synthesis, Characterization, and Mercury (II) Adsorption.

Journal: International journal of molecular sciences

Published: June 01, 2023

Showing 1-8 of 8

Last Updated: 09/26/2026