1,728,233 research outputs found
Khan,Muhammad Umer
No full text학위논문(석사)--아주대학교 정보통신전문대학원 :정보통신공학과,2009. 2Accurate and less invasive personalized predictive medicine can spare many breast
cancer patients from receiving complex surgical biopsies, unnecessary adjuvant
treatments and its expensive medical cost. Cancer prognosis estimates recurrence of
disease and predict survival of patient; hence resulting in improved patient management.
To develop such knowledge based prognostic system, this thesis examines potential
hybridization of accuracy and interpretability in the form of Fuzzy Logic and Decision
Trees, respectively. Effect of rule weights on fuzzy decision trees is investigated to be an
alternative to membership function modifications for performance optimization.
Experiments were performed using different combinations of: number of decision tree
rules, types of fuzzy membership functions and inference techniques for breast cancer
survival analysis. SEER breast cancer data set (1973-2003), the most comprehensible
source of information on cancer incidence in United States, is considered. Performance
comparisons suggest that predictions of weighted fuzzy decision trees (wFDT) are more
accurate and balanced, than independently applied crisp decision tree classifiers;
moreover it has a potential to adapt for significant performance enhancement.Contents
Acknowledgements ii
Abstract v
Contents vi
Chapter 1: Introduction 8
Chapter 2: Related Work 13
Chapter 3: Materials and Methods 15
3.1 Prognostic and Predictive Factors in Breast Cancer 15
3.2 Data 16
3.3 Decision Trees 19
3.3.1 C4.5 Limitations, Interpretability and Model Selection 20
3.4 Weighted Fuzzy Decision Trees (wFDT) 22
3.4.1 Fuzzy Inference 24
3.4.2 Fuzzy Membership Functions 24
3.4.3 Effect of Weights on Fuzzy Rules 26
Chapter 4: Performance Evaluation 29
4.1 Accuracy, Sensitivity and Specificity 29
4.2 10-Fold Cross Validation 29
Chapter 5: Conclusion and Future Work 34
References: 35Maste
FIGURE 1 in A new species of Stenodynerus (Hymenoptera, Vespidae, Eumeninae) from Pakistan
No full textFIGURE 1. Stenodynerus punjabensis, habitus (dorsal view).Published as part of <i>Qasim, Muhammad, Carpenter, James M., Rafi, Muhammad Ather, Khan, Muhammad Rafique & Khan, Muhammad Rahim, 2018, A new species of Stenodynerus (Hymenoptera, Vespidae, Eumeninae) from Pakistan, pp. 271-274 in Zootaxa 4370 (3)</i> on page 272, DOI: 10.11646/zootaxa.4370.3.5, <a href="http://zenodo.org/record/1145539">http://zenodo.org/record/1145539</a>
FIGURE 2 in A new species of Stenodynerus (Hymenoptera, Vespidae, Eumeninae) from Pakistan
No full textFIGURE 2. Stenodynerus punjabensis, habitus (lateral view).Published as part of <i>Qasim, Muhammad, Carpenter, James M., Rafi, Muhammad Ather, Khan, Muhammad Rafique & Khan, Muhammad Rahim, 2018, A new species of Stenodynerus (Hymenoptera, Vespidae, Eumeninae) from Pakistan, pp. 271-274 in Zootaxa 4370 (3)</i> on page 272, DOI: 10.11646/zootaxa.4370.3.5, <a href="http://zenodo.org/record/1145539">http://zenodo.org/record/1145539</a>
FIGURE 3 in A new species of Stenodynerus (Hymenoptera, Vespidae, Eumeninae) from Pakistan
No full textFIGURE 3. Stenodynerus punjabensis, head (frontal view)Published as part of <i>Qasim, Muhammad, Carpenter, James M., Rafi, Muhammad Ather, Khan, Muhammad Rafique & Khan, Muhammad Rahim, 2018, A new species of Stenodynerus (Hymenoptera, Vespidae, Eumeninae) from Pakistan, pp. 271-274 in Zootaxa 4370 (3)</i> on page 273, DOI: 10.11646/zootaxa.4370.3.5, <a href="http://zenodo.org/record/1145539">http://zenodo.org/record/1145539</a>
A new species of Stenodynerus (Hymenoptera, Vespidae, Eumeninae) from Pakistan
No full textQasim, Muhammad, Carpenter, James M., Rafi, Muhammad Ather, Khan, Muhammad Rafique, Khan, Muhammad Rahim (2018): A new species of Stenodynerus (Hymenoptera, Vespidae, Eumeninae) from Pakistan. Zootaxa 4370 (3): 271-274, DOI: 10.11646/zootaxa.4370.3.
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