Hazlina Hamdan

Medical informatics is the application of computer technology, communications and information technology and system in medical fields such as medical care, medical education and medical research. The medical information gathered can be shared, analysed, and communicated to other parties for the support of specific medical research, education and quality patient care to enable the understanding and improve the precision, timeliness and reliability of decision-making by experts in their own right.

Artificial Intelligence (AI) is a study to emulate human intelligence into computer technology. AI was born in an attempt to overcome the limitations of the computer’s ability to perform certain tasks. The potential of AI in medical field has been expressed by a number of researchers. AI techniques in medical provides a laboratory for the examination, organization, representation and cataloguing of medical knowledge. The AI techniques also can produces new tools to support medical decision-making, training and research. This will integrates activities in medical, computer, cognitive and other sciences and offers a content-rich discipline for future scientific medical specialty

I currently have no teaching.

1. Hamdan, H. and Garibaldi, J. M. (2010). An investigation of the effect of the input representation in ANFIS modelling of breast cancer survival. In proceedings of the 2nd International Joint Conference on Computational Intelligence (IJCCI 2010), Valencia, Spain.

2. Hamdan, H. and Garibaldi, J. M. (2010). Adaptive neuro-fuzzy inference system (ANFIS) in modelling breast cancer survival. In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pages 573–580.

3. Hamdan, H. and Garibaldi, J. M. (2009). Modelling survival prediction in medical data. In Proceedings of the 9th Annual Workshop on Computational Intelligence (UKCI 2009), Nottingham, UK.

4. Azizul Isha, Nor Azah Yusof, Mazura Abdul Malik, Hazlina Hamdan (2006). Application of Artificial Neural Network to Simultaneous Spectrophotometric Determination of Lead(II) and Mercury(II) Based on 2-(5-Bromo-2-Piridylazo)-5-Diethylaminopheno. In Malaysian Journal of Chemistry, Vol. 8, No. 1, 072-079.

5. Hazlina Hamdan, Sameem Abdul Kareem, Nur Aishah Mohd Taib and Yip Cheng Har (2004). Back Propagation Neural Network For The Prognosis of Breast Cancer: Comparison on different Training Algorithms. In Proceedings of the Second International Conference on Artificial Intelligence in Engineering & Technology 2004, Kota Kinabalu Sabah, 3-5 August 2004.

6. Hazlina Hamdan, Sameem Abdul Kareem, Nur Aishah Mohd Taib and Yip Cheng Har (2004). The Prognosis of Breast Cancer: A Comparison of Different Neural Network Architectures. In Proceedings of the Joint International Coference on Informatics and Research on Women in ICT (RWICT) 2004, Putra World Trade Centre, Kuala Lumpur, 28-30 July 2004, pp. 173-180.

7. Hazlina Hamdan, Sameem Abdul Kareem, Nur Aishah Mohd Taib and Yip Cheng Har (2004). The Prognosis Of Breast Cancer Using Backpropagation Neural Network. In Proceedings of Information Technology Colloquim 2004 (INTEC 2004), UPM Malaysia, 1 June 2004