| Predicting diabetes based on personal lifestyle indicators by employing machine learning technique, involves carrying out data mining approach like clustering, classification, and using algorithms such as k-Nearest Neighbour, k-means, branch and bound algorithm | |
| 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 | IN202341069842-A |
| 成果简介 | NOVELTY - Predicting diabetes based on personal lifestyle indicators by employing machine learning technique, involves carrying out data mining approach like clustering, classification, and using algorithms such as k-Nearest Neighbour (K-NN), k-means, branch and bound algorithm, and a basic diabetic dataset is chosen for carrying out the comparative analysis. USE - Method for predicting diabetes based on personal life style indicators by employing machine learning technique. ADVANTAGE - The method ensure prediction of diabetes by establishing a relationship between diabetes risk likely to be developed from a person's daily lifestyle activities such as his/her eating habits, sleeping habits, physical activity along with other indicators like BMI (Body Mass Index), waist circumference etc. |
| IPC 分类号 | A61K-038/28 ; A61P-003/04 ; A61P-003/10 ; G09B-019/00 ; G16H-020/17 |
| 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/19909 |
| 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,MUTHULAKSHMI K,KOUSHIK A C,et al. Predicting diabetes based on personal lifestyle indicators by employing machine learning technique, involves carrying out data mining approach like clustering, classification, and using algorithms such as k-Nearest Neighbour, k-means, branch and bound algorithm. IN202341069842-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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