| Type of Material: | Thesis |
| Title: | A Hybrid Approach for Prediction of Chronic Kidney Diseases using Data Mining Techniques |
| Researcher: | DILLI ARASU, S |
| Guide: | THIRUMALAI SELVI, R |
| Department: | Department of Computer Application |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2020 |
| Language: | English |
| Subject: | Computer Science | Computer Science Interdisciplinary Applications | Engineering and Technology | Computer Science and Applications | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Application, Bharath University, Chennai, Chennai; 2020; D14CA510 |
| Fulltext: | Shodhganga |
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| 008 | __ | 240918t2020||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_454641 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aDILLI ARASU, S|eResearcher |
| 110 | __ | |aDepartment of Computer Application|bBharath University, Chennai|dChennai|ein |
| 245 | __ | |aA Hybrid Approach for Prediction of Chronic Kidney Diseases using Data Mining Techniques |
| 260 | __ | |aChennai|bBharath University, Chennai|c2020 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Computer Application, Bharath University, Chennai, Chennai|d2020|oD14CA510 |
| 520 | __ | |aAmple data are collected by the healthcare industry which can be mined and classified for efficient detection and diagnosis of certain diseases. These healthcare data are to be preprocessed for efficient detection of diseases and also for arriving at conclusive decisions. This situation can be better handled by latest techniques of data mining, several techniques were introduced to extract and preprocess these healthcare data efficiently. The practice of examining large preexisting database to generate new information is termed as data mining. Various data mining techniques can be used in the process of arriving decisions. The dataset are examined and pre-processed for solving the problem of missing attribute values in the dataset. The optimal selection of the features and efficient classification must follow to make the process well organized. By using efficient techniques of data mining, goal of this research work is to foresee kidney disease in the patients. The quality of pre-processing or at any other |
| 650 | __ | |aComputer Science and Applications|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Interdisciplinary Applications |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aTHIRUMALAI SELVI, R|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/309825|yShodhganga |
| 905 | __ | |afromsg |
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