Integrated Retinal Information System for Analyzing Kidney Condition
Iridology is a science and practice that can express body state based on the analysis of iris structure. The changes or disturbances of disease on body network will be informed by neuron nerve fiber to brain. This energy wave information spread to eye by brain, recorded and fixed by pupil.Then, thes...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | en en |
| Published: |
2009
|
| Subjects: | |
| Online Access: | https://etd.uum.edu.my/1571/1/Hatta_Perdana_2009.pdf https://etd.uum.edu.my/1571/2/1.Hatta_Perdana_2009.pdf https://etd.uum.edu.my/1571/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833435683890397184 |
|---|---|
| author | Perdana, Hatta |
| author_facet | Perdana, Hatta |
| author_sort | Perdana, Hatta |
| building | UUM Library |
| collection | Institutional Repository |
| content_provider | Universiti Utara Malaysia |
| content_source | UUM Electronic Theses |
| continent | Asia |
| country | Malaysia |
| description | Iridology is a science and practice that can express body state based on the analysis of iris structure. The changes or disturbances of disease on body network will be informed by neuron nerve fiber to brain. This energy wave information spread to eye by brain, recorded and fixed by pupil.Then, these recorded fixation become data trails which can be detected by disturbance/disease that is filed by body organ. The research about iridology to analyzing kidney condition has been conducted before using Learning Vector Quantization (LVQ) method. The accuracy is not 100%.
In this research, the researcher implements Support Vector Machine(SVM) in classifying the kidney condition to replace LVQ using Matlab R2007b. The accuracy in classifying the kidney condition for right eyes is 100% and for the left eyes is 100% in training set data. If we compared to
the accuracy of classification using LVQ, implementing SVM is much better because by implementing LVQ, the accuracy is only 96% for right eyes and only 92% for left eyes. |
| format | Thesis |
| id | my.uum.etd-1571 |
| institution | Universiti Utara Malaysia |
| language | en en |
| publishDate | 2009 |
| record_format | eprints |
| spelling | my.uum.etd-15712013-07-24T12:12:22Z https://etd.uum.edu.my/1571/ Integrated Retinal Information System for Analyzing Kidney Condition Perdana, Hatta QA76.76 Fuzzy System. Iridology is a science and practice that can express body state based on the analysis of iris structure. The changes or disturbances of disease on body network will be informed by neuron nerve fiber to brain. This energy wave information spread to eye by brain, recorded and fixed by pupil.Then, these recorded fixation become data trails which can be detected by disturbance/disease that is filed by body organ. The research about iridology to analyzing kidney condition has been conducted before using Learning Vector Quantization (LVQ) method. The accuracy is not 100%. In this research, the researcher implements Support Vector Machine(SVM) in classifying the kidney condition to replace LVQ using Matlab R2007b. The accuracy in classifying the kidney condition for right eyes is 100% and for the left eyes is 100% in training set data. If we compared to the accuracy of classification using LVQ, implementing SVM is much better because by implementing LVQ, the accuracy is only 96% for right eyes and only 92% for left eyes. 2009 Thesis NonPeerReviewed application/pdf en https://etd.uum.edu.my/1571/1/Hatta_Perdana_2009.pdf application/pdf en https://etd.uum.edu.my/1571/2/1.Hatta_Perdana_2009.pdf Perdana, Hatta (2009) Integrated Retinal Information System for Analyzing Kidney Condition. Masters thesis, Universiti Utara Malaysia. |
| spellingShingle | QA76.76 Fuzzy System. Perdana, Hatta Integrated Retinal Information System for Analyzing Kidney Condition |
| title | Integrated Retinal Information System for Analyzing Kidney Condition |
| title_full | Integrated Retinal Information System for Analyzing Kidney Condition |
| title_fullStr | Integrated Retinal Information System for Analyzing Kidney Condition |
| title_full_unstemmed | Integrated Retinal Information System for Analyzing Kidney Condition |
| title_short | Integrated Retinal Information System for Analyzing Kidney Condition |
| title_sort | integrated retinal information system for analyzing kidney condition |
| topic | QA76.76 Fuzzy System. |
| url | https://etd.uum.edu.my/1571/1/Hatta_Perdana_2009.pdf https://etd.uum.edu.my/1571/2/1.Hatta_Perdana_2009.pdf https://etd.uum.edu.my/1571/ |
| url_provider | http://etd.uum.edu.my/ |