Publications
Book chapter · Studies in health technology and informatics · January 1, 1996
Decision-Support System for Arterial Hypertension: Haemodynamic Monitoring and Treatment
Fatima Аdilova, Tursunbaev Olim, M. Paizieva
Abstract
In order to study the daily fluctuation of central haemodynamic's parameters a mathematical model was developed, which take into account internal (neurohumoral) and external (metrological) factors. Study results have been used to design a computer-based simulation system for diagnosing the initial stages of arterial hypertension and choosing the optimal ways of treatment. The validity of the model was evaluated by comparing a group of patients treated traditionally, with a group treated using the system.
Blood Pressure and Hypertension StudiesCardiovascular Health and Disease PreventionArtificial Intelligence in Healthcarehypertensiondecision support systemhemodynamic monitoring
More by Fatima Adilova
- Graph-based density-variation outlier removal for chronic disease prediction: A leakage-free benchmark and component-wise ablationResults in Engineering · 2026
- Monotonic System Framework for Globally Optimal Structuring of Complex Data2026
- Boosting LLM Adaptation: Superior Stability and Convergence via OLoRA+ Across Diverse NLP BenchmarksInternational Siberian workshops and tutorials on electron devices and materials · 2026
- Генерации графов заданной структуры: от глубоких нейронных сетей к квантовым моделям (на примере создания новых лекарств)Problems of Computational and Applied Mathematics · 2026