Journal of Computer & Information Technology

Intelligent Computing Methods in Medical Diagnosis

Author:
1Noor Maizura Mohamad Noor1, Fatihah Mohd, 2Zainab Abu Bakar, 3Zainul Ahmad Rajion and 3Rajan Saini
Affiliation:

1Computer Sciences Department , University Malaysia Terengganu (UMT)

2faculty of Computer Science and Mathematics, Universiti Teknology MARA Malaysia

3School of Dental Sciences, University Sains Malaysia Kelatan Malaysia

 

Keyword:
Bayesian networks, decision support system, diagnosis, fuzzy logic, hybrid intelligent system, medical, neural network.
Issue Date:
December 2010
Abstract:
 Disease diagnoses are a complex tasks in medical practice, especially for medical students and new apprentice staff. One of the most promising fields in bioinformatics is medical decision support system. Various artificial intelligent approaches are now being applied to enhance decision making of the clinicians such as using artificial neural networks, fuzzy logic, Bayesian networks, expert system and genetic algorithm. Numerous artificial intelligent techniques are integrated into hybrid intelligent medical informatics in order to produce most effective results in diagnostic tasks. 
Pages:
ISSN:
2455-9997 (Online) - 2229-3531 (Print)
Source:
DOI:

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Available from: http://www.compitjournal.org/paper/300/

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