Computation tools for the combat of cardiovascular heart disease

Khoo, L. P. and Cai, Y. Y. and Xiong, Z. W. and Lim, Y. L. and Wahlqvist, M. L. and Fok, S. C. (2004) Computation tools for the combat of cardiovascular heart disease. International Journal of Computer Applications in Technology, 21 (1-2). pp. 16-22. ISSN 0952-8091

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The paper discusses two potential applications of computational technologies to combat cardiovascular heart disease in Singapore. The first application involves the exploitation of neural networks for the risk prediction of coronary heart disease. The second application involves the potential integration of artificial intelligence and high performance modelling with clinical biology for the analysis and visualisation of atherosclerosis related structure. The implementation of these computation tools in phases constitutes initial efforts in the development of a digital clinical atherosclerosis laboratory to assist in the prevention and treatment of cardiovascular heart disease.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Article only available on journal website.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 30 Nov 2007 11:47
Last Modified: 18 Apr 2018 04:47
Uncontrolled Keywords: coronary heart disease; atherosclerosis; cardiovascular heart disease; Singapore; neural networks; risk prediction; artifical intelligence; high performance modelling; clinical biology; visualisation
Fields of Research : 10 Technology > 1004 Medical Biotechnology > 100402 Medical Biotechnology Diagnostics (incl. Biosensors)
08 Information and Computing Sciences > 0803 Computer Software > 080301 Bioinformatics Software
11 Medical and Health Sciences > 1102 Cardiovascular Medicine and Haematology > 110201 Cardiology (incl. Cardiovascular Diseases)
Socio-Economic Objective: C Society > 92 Health > 9204 Public Health (excl. Specific Population Health) > 920412 Preventive Medicine
Identification Number or DOI: 10.1504/IJCAT.2004.005334

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