id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_iyfr52ipozd5lnyrow2embtrve	Seyed M.S. Dashti	An Expert System to Diagnose Spinal Disorders	2020	17	.pdf	application/pdf	10952	1094	58	system based on a hybrid inference algorithm and comprehensive integrated knowledge for assisting the experts in the fast and high-quality First, for each spinal anomaly, the accurate and integrated knowledge was acquired from related experts and resources. The proposed expert system was evaluated in two different phases, real-world samples, and medical records evaluation. Evaluations suggest that the proposed expert system provides promising performance, helping specialists to validate the accuracy and integrity of Keywords: Spine, Expert system, Uncertainty factor, Spinal disorder, Knowledge engineering, Knowledge representation. simulate the knowledge of experts and helps patients detect and expert systems based on rules use human expertise to solve Rule-based expert systems have played a implementation of backward chaining in a rule-based expert Expert systems use the Certainty Factor (CF) to implement A sample of certainty effect factor for classified symptoms of the flat back anomaly. Inference in Rule-Based expert systems Inference in Rule-Based expert systems	./cache/work_iyfr52ipozd5lnyrow2embtrve.pdf	./txt/work_iyfr52ipozd5lnyrow2embtrve.txt