Knowledge Based System for Tuberculosis Diagnosis and Treatment

The book "Knowledge Based System for Tuberculosis Diagnosis and Treatment" offers a comprehensive analysis of the development and implementation of knowledge-based systems to assist healthcare professionals in the diagnosis and treatment of tuberculosis. It highlights advancements in computer technology and its application in medical decision-making. By utilizing artificial intelligence and expert system techniques, it demonstrates how such systems can help identify medical issues and interpret test results. The author, Adane Nega Tarekegn, places particular emphasis on the methodological aspects of system development, including knowledge acquisition, knowledge modeling and representation, as well as the implementation of a prototype. The evaluation of the system shows positive feedback from users, underscoring the relevance and utility of this technology in the medical field.