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Hazlina Hamdan
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Role: |
PhD Student |
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Qualifications: |
Bachelor in Computer Science (UiTM-UKM),
Master in Computer Science (UM) |
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Office: |
B 38 |
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Telephone: |
+44 (0) 115 9514299 |
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Email: |
This e-mail address is being protected from spambots. You need JavaScript enabled to view it
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Homepage: |
http://www.cs.nott.ac.uk/~hzh |
Research
My research interest is in the modelling survival through the use of artificial intelligent techniques. The main focus initially is on the fuzzy inference systems which knowledge is encoded as a set of explicit linguistic rules.
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Teaching & Supervision
My PhD supervisors are Jonathan M. Garibaldi, and Uwe Aickelin
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Current Projects
Apply AI techniques on the analysis of breast cancer data
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Conference Papers |
| Author(s) |
Title |
Publisher |
Page |
Year |
| Hazlina Hamdan, Jonathan M. Garibaldi |
Adaptive Neuro-Fuzzy Inference System (ANFIS) in Modelling Breast Cancer Survival |
2010 IEEE International Conference on Fuzzy System (FUZZ-IEEE) |
573-580 |
2010 |
| Hazlina Hamdan, Jonathan M.Garibaldi |
Modelling Survival Prediction in Medical Data |
Proceedings of the 9th Annual Workshop on Computational Intelligence (UKCI 2009), Nottingham, UK |
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2009 |
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Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK.
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