| Type of Material: | Thesis |
| Title: | PREDICTIVE DATAMINING AND KNOWLEDGE DISCOVERY IN MEDICAL DATA |
| Researcher: | S.ANITHAA |
| Guide: | M. RAJANI |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2013 |
| Language: | English |
| Subject: | Support Vector Machines | Principal Component Analysis | RandomForest | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2013 |
| Fulltext: | Shodhganga |
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| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aS.ANITHAA|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein |
| 245 | __ | |aPREDICTIVE DATAMINING AND KNOWLEDGE DISCOVERY IN MEDICAL DATA |
| 260 | __ | |aChennai|bBharath University, Chennai|c2013 |
| 300 | __ | |dDVD |
| 502 | __ | |cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2013|bPhD |
| 518 | __ | |oDate of Registration|d2008-01-03 |
| 520 | __ | |aBiomedical informatics is an emerging discipline that bridges two important scientific fields, namely Biology and Medicine with Computer Science. This bridging is an absolute necessity due to the vast amounts of data that are being collected in both the medical and biological fields. These data contain valuable information that awaits extraction and analysis. The knowledge may be encapsulated in various patterns and regularities that may be hidden in the data. Such knowledge may prove to be priceless in future medical decision making or genomic analysis. Machine learning and data mining techniques have proven to be excellent tools for knowledge extraction in clinical and genomic data has become a very important topic in scientific research. Over the years, health care institutions all over the world have been collecting enormous volumes of medical data. For example, gigabytes of data are collected everyday from imaging techniques like MRI, PET, and collection of ECG or EEG signals. Huge efforts are being ma |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aSupport Vector Machines |
| 653 | __ | |aPrincipal Component Analysis |
| 653 | __ | |aRandomForest |
| 700 | __ | |aM. RAJANI|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/170925|yShodhganga |
| 905 | __ | |afromsg |
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