Advanced artificial intelligence (AI)-based decision-making system for biomedical waste management, has utilizing sophisticated neural-symbolic architecture with specialized models trained for biomedical waste classification and automated contamination detection protocols
	KUMARI S; SARKAR B K; REENA; GARAI T
	2025-04-07
专利权人	UNIV ABHILASHI (UYAB-Non-standard) ; SARKAR B K (SARK-Individual) ; REENA (REEN-Individual) ; GARAI T (GARA-Individual)
申请日期	2025-04-07
专利号	IN202531033838-A
成果简介	NOVELTY - The system includes incorporating multiple machine learning algorithms with expert knowledge systems, and autonomously categorize, track, and optimize the disposal of biomedical waste through intelligent rule-based inference engines, incorporating real-time data analysis and adaptive classification models. A sophisticated neural-symbolic architecture is utilized with specialized models trained for biomedical waste classification, automated contamination detection protocols, dynamic treatment recommendation algorithms, and intelligent volume prediction mechanisms. USE - Advanced AI-based decision-making system for biomedical waste management. ADVANTAGE - The system enables maintaining dynamic risk assessment protocols and implementing self-learning mechanisms that optimize waste segregation based on historical pattern recognition, thus creating a waste management framework that enhances processing efficiency while ensuring compliance with regulatory standards. The utilization of sophisticated neural-symbolic architecture enables maintaining comprehensive waste tracking databases and regulatory compliance integration that ensures auditable and traceable waste management processes, with real-time environmental impact monitoring for accurate waste identification, enhanced segregation optimization, and optimal treatment pathway selection while maintaining complete process transparency. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic representation of an AI-based decision-making system for biomedical waste management.
IPC 分类号	A61B-005/00 ; G06N-003/045 ; G06Q-050/26 ; G16H-040/20 ; G16H-050/20
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13194
专题	中国科学院新疆生态与地理研究所
作者单位	1.UNIV ABHILASHI (UYAB-Non-standard) 2.SARKAR B K (SARK-Individual) 3.REENA (REEN-Individual) 4.GARAI T (GARA-Individual)
推荐引用方式 GB/T 7714	KUMARI S,SARKAR B K,REENA,et al. Advanced artificial intelligence (AI)-based decision-making system for biomedical waste management, has utilizing sophisticated neural-symbolic architecture with specialized models trained for biomedical waste classification and automated contamination detection protocols. IN202531033838-A[P]. 2025.

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