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| 003 | EG-GiCUC | ||
| 008 | 120301s2011 ua dh f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aPh.D | ||
| 099 | _aCai01.13.03.Ph.D.2011.Ah.S | ||
| 100 | 0 | _aAhmed Mohamed Hashem Fathy Mahmoud | |
| 245 | 1 | 0 |
_aSingle stage and multistage classification models for the predetion of liver fibrosis degrees / _cAhmed Mohamed Hashem Fathy Mahmoud ; Supervised Mohamed Emad M. Rasmy , Olfat Gamil Shaker , Khaled Mohamed A. Wahba |
| 246 | 1 | 5 | _aنماذج تصنيفية أحادية المرحلة ومتعددة المراحل للتنبؤ بدرجات التليف الكبدى |
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_aCairo : _bAhmed Mohamed Hashem Fathy Mahmoud , _c2011 |
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| 300 |
_a259 P. : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Systems and Biomdical Engineering | ||
| 520 | _aAlthough liver biopsy is considered as mandatory for predicting degree of liver fibrosis in HCV patients , the tendency is to substitute it with non - invasive method . Therefore , in this study we have developed single stage and multistage stepwise classification models based on Neural Network , Decision Tree , Logistic Regression and Nearest Neighborhood clustering to predict individual's liver fibrosis degree | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aHCV | |
| 653 | 4 | _aLiver Fibrosis | |
| 653 | 4 | _aMultistage classification | |
| 700 | 0 |
_aKhaled Mohamed Abdelgawad Wahba , _eSupervisor |
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| 700 | 0 |
_aMohamed Emad Mousa Rasmy , _eSupervisor |
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| 700 | 0 |
_aOlfat Gamil Shaker , _eSupervisor |
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_aFatma _eCataloger |
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_aNazla _eRevisor |
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_2ddc _cTH |
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_c37645 _d37645 |
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