Publications
Book chapter · Studies in health technology and informatics · January 1, 2001
Knowledge Discovering from Clinical Data Based on Classification Tasks Solving
Ignat apos ev N.A., Fatima Аdilova, Gayrat R. Matlatipov, P. P. Chernysh
Abstract
After the abundant literature on normative decision analysis centered on Bayes' rule, the artificial intelligence approach left aside the proposed formalism in favor of symbolic approach. Thus, diagnosis was identified as a dynamic cognitive process, characterized by the search for evidence to test a given hypothesis where heuristic thinking plays a significant role.
Artificial Intelligence in HealthcareClinical Reasoning and Diagnostic SkillsMachine Learning in Healthcareknowledge discoveryclinical dataclassification
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