Hazlina Hamdan

 

Hazlina Hamdan
role Role: PhD Student
qualifications Qualifications: BSc, MSc
office Office: B 38
telephone Telephone: +44 (0) 115 9514299
email Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
homepage 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.

Teaching & Supervision

My PhD supervisors are Jonathan M. Garibaldi, and Uwe Aickelin

Current Projects

Apply AI techniques in modelling breast cancer survival

Conference Papers
Author(s) Title Publisher Page Year
Hazlina Hamdan, Jonathan M. Garibaldi An Investigation of The Effect of Input Representation in ANFIS Modelling of Breast Cancer Survival Proceedings of the International Conference on Fuzzy Computation (ICFC 2010) 99-104 2010
Hazlina Hamdan, Jonathan M. Garibaldi Adaptive Neuro-Fuzzy Inference System (ANFIS) in Modelling Breast Cancer Survival Proceedings of the 2010 IEEE International Conference on Fuzzy System (FUZZ-IEEE) 573-580 2010
Hazlina Hamdan, Jonathan M.Garibaldi Modelling Survival Prediction in Medical Data The 9th Annual Workshop on Computational Intelligence (UKCI 2009), Nottingham, UK 2009

 

 

Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK.