Method for predicting diabetes by using machine learning techniques, involves using algorithms such as K-Nearest Neighbour (K-NN), k-means, brand and bound algorithm, and using basic diabetic dataset for carrying out comparative analysis operation
	ETHIRAJULU V; SATYA S K B; REDDY R S C; BABU H C; VARUN S B; VENKATAKRISHNAN M R
	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	IN202341069528-A
成果简介	NOVELTY - The method involves using algorithms such as K-Nearest Neighbour (K-NN), k-means, brand and bound algorithm. A basic diabetic dataset is used for carrying out the comparative analysis operation. USE - Method for predicting diabetes by using machine learning techniques. ADVANTAGE - The method enables increasing accuracy of prediction through deep learning techniques and using an interactive application, in which user can give a single input to arrive prediction.
IPC 分类号	A61P-003/10 ; G06F-016/2458 ; G06K-009/62 ; G16H-050/20 ; G16H-050/50
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/19892
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	ETHIRAJULU V,SATYA S K B,REDDY R S C,et al. Method for predicting diabetes by using machine learning techniques, involves using algorithms such as K-Nearest Neighbour (K-NN), k-means, brand and bound algorithm, and using basic diabetic dataset for carrying out comparative analysis operation. IN202341069528-A[P]. 2023.

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