TY  - CONF
ID  - scholars1707
TI  - Soft computing in medical diagnostic applications: A short review
KW  - Artificial Neural Network; Computer aided; Computer-aided systems; CT scan; Diagnose disease; Disease diagnosis; Medical diagnostics; Medical images; Soft computing methodologies
KW  -  Computer aided diagnosis; Fuzzy logic; Genetic algorithms; Health care; Neural networks; Sustainable development
KW  -  Soft computing
N2  - Medical diagnosis is one of the most important issues in healthcare. Computer aided systems have been developed in order to diagnose diseases by examining the internal human organs through medical images captured by MRI, CT scan etc. Many techniques have been utilized in order to develop these systems. In this paper, a short review on artificial neural network, fuzzy logic and genetic algorithm techniques in medical diagnostic applications is presented. The purpose of this review is to select the most suitable soft computing methodology to build a disease diagnosis system with high capabilities. The combination of artificial neural network, fuzzy logic and genetic algorithm in one methodology was reported to have a great advantage in producing systems with better performance. © 2011 IEEE.
N1  - cited By 10; Conference of 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011 ; Conference Date: 19 September 2011 Through 20 September 2011; Conference Code:88531
AV  - none
CY  - Perak
A1  - Al-Absi, H.R.H.
A1  - Abdullah, A.
A1  - Hassan, M.I.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857072546&doi=10.1109%2fNatPC.2011.6136288&partnerID=40&md5=09ac303dd88fba81b4d447d4cb56f875
SN  - 9781457718847
Y1  - 2011///
ER  -