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Towards Finding a Robust Predictive Model for Breast Cancer Survival Analysis
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ali, Amna | - |
| dc.date.accessioned | 2018-11-08T05:50:38Z | - |
| dc.date.available | 2018-11-08T05:50:38Z | - |
| dc.date.issued | 2011-02 | - |
| dc.identifier.other | 11308 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/2399 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :컴퓨터공학과,2011. 2 | - |
| dc.description.tableofcontents | Acknowledgements i Abstract vii Contents ix Chapter 1: Introduction 12 1.1 Breast Cancer 13 1.2 Cancer Prognosis and Survival Analysis 13 Chapter 2: Background Study 17 Chapter 3: Recent Prediction Models for Breast Cancer Survivability 19 2.1 Support Vector Machine 19 2.1.1. Kernel Selection 21 2.2 Artificial Neural Network 26 2.3 Semi-Supervised Learning (SSL) 27 2.4 Graph based SSL 28 2.5 Graph Sharpening 30 Chapter 4: Performance Evaluation 32 4.1 Dataset 32 4.2 Measures of Performance Analysis 34 4.2.1 Confusion Matrix 34 4.2.2 Sensitivity and Specificity 35 4.2.3 Accuracy 35 4.2.4 ROC Curve 35 4.3 Experimental Setting 36 4.4 Results 37 Chapter 5: Conclusion 44 References 45 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | Towards Finding a Robust Predictive Model for Breast Cancer Survival Analysis | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.department | 일반대학원 컴퓨터공학과 | - |
| dc.date.awarded | 2011. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 569457 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000011308 | - |
| dc.subject.keyword | Breast Cancer | - |
| dc.subject.keyword | Predictive Model | - |
- Appears in Collections:
- Graduate School of Ajou University > Department of Computer Engineering > 3. Theses(Master)
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