A Study on Anaphylactic-shock Forecasting System with Knowledge-Based Intelligent Architecture

• DOI: 10.63503/j.ijcma.2024.15
• Publication Date: 2025-03-27T12:49:54Z
• Authors: Meghna Sarkar; Siddhartha Chatt...; Sudipta Hazra; Ritwika Ghosh; Soumi Chakraborty

A serious and potentially fatal allergic reaction Anaphylaxis requires prompt diagnosis and treatment. Accurate prediction of anaphylaxis is vital for preventing severe outcomes and accompanying medical management. This study investigates the creation and application of a hybrid knowledge-based system architecture to predict anaphylaxis. By combining rule-based systems with machine learning models, the goal is to integrate expert medical knowledge with data-driven insights, resulting in a robust, interpretable, and clinically useful predictive tool. Here the development of a hybrid Knowledge-Based Intelligent System Architecture is discussed. Also, this approach addresses a comprehensive study of the KBS-ML system’s capacity against traditional prediction methods, providing healthcare providers with timely and accurate identification of anaphylaxis risk, ultimately improving patient outcomes