Method for predicting chronic kidney disease by using data mining or machine learning models, involves performing dataset selection and data preprocessing operation, selecting correct dataset, and preprocessing data to remove noise
	BHAVANA; KALIYAMURTHIE K P; SUNITHA J; REDDY A U; MAHITHA V; RAMA P
	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	IN202341069704-A
成果简介	NOVELTY - The method involves performing dataset selection and data preprocessing operation. A correct dataset is selected. The data is preprocessed to remove noise. Algorithms for the given dataset are implemented. Control metrics are classified. An effective algorithm is predicted. Performance of the algorithms is compared based on the control metrics. The graphs are plotted to depict actual and predicted values. An effective algorithm is determined. USE - Method for predicting chronic kidney disease by using data mining or machine learning models. ADVANTAGE - The method enables predicting possibility of chronic kidney disease in an accurate manner, and managing high blood pressure, blood sugar, and cholesterol levels that increase risk for heart disease and stroke for people with CKD in an effective manner.
IPC 分类号	G06K-009/62 ; G06N-020/00 ; G06N-003/04 ; G06N-003/08 ; 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/19944
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	BHAVANA,KALIYAMURTHIE K P,SUNITHA J,et al. Method for predicting chronic kidney disease by using data mining or machine learning models, involves performing dataset selection and data preprocessing operation, selecting correct dataset, and preprocessing data to remove noise. IN202341069704-A[P]. 2023.

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