Medical diagnosis using data mining techniques / Shaiful Nizam Zamri
Medical Diagnosis Using Data Mining Techniques is a system in specifically facilitates the data mining techniques in predicting the appropriate drug prescription of certain condition of patients. The report will firstly cover the inductors of data mining and the overview of the overall system and it...
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| Format: | Thesis |
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2003
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| Online Access: | http://studentsrepo.um.edu.my/10584/1/Shaiful_Nizam_Zamri__(Medical_Diagnosis_Using_Data_Mining).pdf http://studentsrepo.um.edu.my/10584/ |
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| _version_ | 1831435600570351616 |
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| author | Shaiful Nizam , Zamri |
| author_facet | Shaiful Nizam , Zamri |
| author_sort | Shaiful Nizam , Zamri |
| building | UM Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaya |
| content_source | UM Student Repository |
| continent | Asia |
| country | Malaysia |
| description | Medical Diagnosis Using Data Mining Techniques is a system in specifically facilitates the data mining techniques in predicting the appropriate drug prescription of certain condition of patients. The report will firstly cover the inductors of data mining and the overview of the overall system and it also reviewed about the data mining paradigm. Secondly, this report will review the literature part which started with basic knowledge of data mining and knowing what the basic information about data mining. At the end of this part will reviewed and studied about the mining algorithm the gathered from the research made earlier. Then followed by the methodology part as the scenario of the project and the system analysis, which will review the need requirements and tools used to implement the system. The system design part will explains the flow and functionality of the system structure. Then, the system implementation part explains the selected tools chosen for implementing the system which using the Clementine Data Mining Solution. System testing the was done for checking and detecting error or malfunction of the system. The final part is generally the overall system evaluation and the conclusion of the whole project which explains the strength and the limitation of the system. |
| format | Thesis |
| id | my.um.stud-10584 |
| institution | Universiti Malaya |
| publishDate | 2003 |
| record_format | eprints |
| spelling | my.um.stud-105842020-05-10T06:44:40Z Medical diagnosis using data mining techniques / Shaiful Nizam Zamri Shaiful Nizam , Zamri QA75 Electronic computers. Computer science QA76 Computer software Medical Diagnosis Using Data Mining Techniques is a system in specifically facilitates the data mining techniques in predicting the appropriate drug prescription of certain condition of patients. The report will firstly cover the inductors of data mining and the overview of the overall system and it also reviewed about the data mining paradigm. Secondly, this report will review the literature part which started with basic knowledge of data mining and knowing what the basic information about data mining. At the end of this part will reviewed and studied about the mining algorithm the gathered from the research made earlier. Then followed by the methodology part as the scenario of the project and the system analysis, which will review the need requirements and tools used to implement the system. The system design part will explains the flow and functionality of the system structure. Then, the system implementation part explains the selected tools chosen for implementing the system which using the Clementine Data Mining Solution. System testing the was done for checking and detecting error or malfunction of the system. The final part is generally the overall system evaluation and the conclusion of the whole project which explains the strength and the limitation of the system. 2003 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/10584/1/Shaiful_Nizam_Zamri__(Medical_Diagnosis_Using_Data_Mining).pdf Shaiful Nizam , Zamri (2003) Medical diagnosis using data mining techniques / Shaiful Nizam Zamri. Undergraduates thesis, University of Malaya. http://studentsrepo.um.edu.my/10584/ |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Shaiful Nizam , Zamri Medical diagnosis using data mining techniques / Shaiful Nizam Zamri |
| title | Medical diagnosis using data mining techniques / Shaiful Nizam Zamri |
| title_full | Medical diagnosis using data mining techniques / Shaiful Nizam Zamri |
| title_fullStr | Medical diagnosis using data mining techniques / Shaiful Nizam Zamri |
| title_full_unstemmed | Medical diagnosis using data mining techniques / Shaiful Nizam Zamri |
| title_short | Medical diagnosis using data mining techniques / Shaiful Nizam Zamri |
| title_sort | medical diagnosis using data mining techniques / shaiful nizam zamri |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://studentsrepo.um.edu.my/10584/1/Shaiful_Nizam_Zamri__(Medical_Diagnosis_Using_Data_Mining).pdf http://studentsrepo.um.edu.my/10584/ |
| url_provider | http://studentsrepo.um.edu.my/ |