Comparing the Performances of Neural Network and Rough Set Theory to Reflect the Improvement of Prognostic in Medical Data
In this research, I investigate and compared two of Artificial Intelligence (AI)techniques which are; Neural network and Rough set will be the best technique to be use in analyzing data. Recently, AI is one of the techniques which still in development process that produced few of intelligent system...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | en en |
| Published: |
2009
|
| Subjects: | |
| Online Access: | https://etd.uum.edu.my/1909/1/Nur_Aniza_Bt_Alang_Ismail.pdf https://etd.uum.edu.my/1909/2/1.Nur_Aniza_Bt_Alang_Ismail.pdf https://etd.uum.edu.my/1909/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833435753198125056 |
|---|---|
| author | Nur Aniza, Alang Ismail |
| author_facet | Nur Aniza, Alang Ismail |
| author_sort | Nur Aniza, Alang Ismail |
| building | UUM Library |
| collection | Institutional Repository |
| content_provider | Universiti Utara Malaysia |
| content_source | UUM Electronic Theses |
| continent | Asia |
| country | Malaysia |
| description | In this research, I investigate and compared two of Artificial Intelligence (AI)techniques which are; Neural network and Rough set will be the best technique to be use
in analyzing data. Recently, AI is one of the techniques which still in development process that produced few of intelligent systems that helped human to support their daily
life such as decision making. In Malaysia, it is newly introduced by a group of researchers from University Science Malaysia. They agreed with others world-wide
researchers that AI is very helpful to replaced human intelligence and do many works that can be done by human especially in medical area.In this research, I have chosen three sets of medical data; Wisoncin Prognostic Breast
cancer, Parkinson’s diseases and Hepatitis Prognostic. The reason why the medical data is selected for this research because of the popularity among the researchers that done
their research in AI by using medical data and the prediction or target attributes is clearly understandable. The results and findings also discussed in this paper. How the experiment has been done; the steps involved also discussed in this paper. I also conclude this paper with conclusion and future work. |
| format | Thesis |
| id | my.uum.etd-1909 |
| institution | Universiti Utara Malaysia |
| language | en en |
| publishDate | 2009 |
| record_format | eprints |
| spelling | my.uum.etd-19092013-07-24T12:13:40Z https://etd.uum.edu.my/1909/ Comparing the Performances of Neural Network and Rough Set Theory to Reflect the Improvement of Prognostic in Medical Data Nur Aniza, Alang Ismail QA76 Computer software In this research, I investigate and compared two of Artificial Intelligence (AI)techniques which are; Neural network and Rough set will be the best technique to be use in analyzing data. Recently, AI is one of the techniques which still in development process that produced few of intelligent systems that helped human to support their daily life such as decision making. In Malaysia, it is newly introduced by a group of researchers from University Science Malaysia. They agreed with others world-wide researchers that AI is very helpful to replaced human intelligence and do many works that can be done by human especially in medical area.In this research, I have chosen three sets of medical data; Wisoncin Prognostic Breast cancer, Parkinson’s diseases and Hepatitis Prognostic. The reason why the medical data is selected for this research because of the popularity among the researchers that done their research in AI by using medical data and the prediction or target attributes is clearly understandable. The results and findings also discussed in this paper. How the experiment has been done; the steps involved also discussed in this paper. I also conclude this paper with conclusion and future work. 2009 Thesis NonPeerReviewed application/pdf en https://etd.uum.edu.my/1909/1/Nur_Aniza_Bt_Alang_Ismail.pdf application/pdf en https://etd.uum.edu.my/1909/2/1.Nur_Aniza_Bt_Alang_Ismail.pdf Nur Aniza, Alang Ismail (2009) Comparing the Performances of Neural Network and Rough Set Theory to Reflect the Improvement of Prognostic in Medical Data. Masters thesis, Universiti Utara Malaysia. |
| spellingShingle | QA76 Computer software Nur Aniza, Alang Ismail Comparing the Performances of Neural Network and Rough Set Theory to Reflect the Improvement of Prognostic in Medical Data |
| title | Comparing the Performances of Neural Network and Rough Set Theory to Reflect the Improvement of Prognostic in Medical Data |
| title_full | Comparing the Performances of Neural Network and Rough Set Theory to Reflect the Improvement of Prognostic in Medical Data |
| title_fullStr | Comparing the Performances of Neural Network and Rough Set Theory to Reflect the Improvement of Prognostic in Medical Data |
| title_full_unstemmed | Comparing the Performances of Neural Network and Rough Set Theory to Reflect the Improvement of Prognostic in Medical Data |
| title_short | Comparing the Performances of Neural Network and Rough Set Theory to Reflect the Improvement of Prognostic in Medical Data |
| title_sort | comparing the performances of neural network and rough set theory to reflect the improvement of prognostic in medical data |
| topic | QA76 Computer software |
| url | https://etd.uum.edu.my/1909/1/Nur_Aniza_Bt_Alang_Ismail.pdf https://etd.uum.edu.my/1909/2/1.Nur_Aniza_Bt_Alang_Ismail.pdf https://etd.uum.edu.my/1909/ |
| url_provider | http://etd.uum.edu.my/ |