System for detection of chronic kidney diagnosis using deep learning, implements machine learning approach for classifying Kidney cancer as benign, where results of machine learning are compared on basis of accuracy with system based on results
	VASUMATHI G; VANITHAMANI P; SAKTHIVEL; DHINAKAR P; MARY A S; BALAJI K G; KRISHNA S R C; KARTHIK C; VENKATESWARARAO C
	2023-10-16
专利权人	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期	2023-10-16
专利号	IN202341069730-A
成果简介	NOVELTY - The system implements machine leaning (ML) approach for classifying Kidney cancer as benign, where the results of ML are compared on the basis of accuracy with existing system based on the results. The ML technique is more efficient in Kidney cancer detection. The system detects chronic kidney diseases using a framework containing recurrent neural network (RNN) multi layered architecture trained for kidney diseases classification, where deep learning prediction method is evaluated for prediction of chronic kidney diseases. USE - System for detection of chronic kidney diagnosis using deep learning. ADVANTAGE - The system can be implemented by using a Python(RTM: High-level, general-purpose programming language) software tool and deep learning concepts to decrease time needed to predict chronic kidney disease.
IPC 分类号	G06N-020/00 ; G06N-003/02 ; G06N-003/08
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/19537
专题	中国科学院新疆生态与地理研究所
作者单位	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式 GB/T 7714	VASUMATHI G,VANITHAMANI P,SAKTHIVEL,et al. System for detection of chronic kidney diagnosis using deep learning, implements machine learning approach for classifying Kidney cancer as benign, where results of machine learning are compared on basis of accuracy with system based on results. IN202341069730-A[P]. 2023.

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