Fuzzy Bayesian network-based inference in predicting astrocytoma malignant degree

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 2, Issue , 2006, Pages 10251-10255

  Lin, Chun Yi ^a,b   Yin, Jun Xun ^a   Ma, Li Hong ^a   Chen, Jian Yu ^c  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b SUN YAT SEN UNIVERSITY   (China)

^c SUN YAT SEN MEMORIAL HOSPITAL OF SUN YAT SEN UNIVERSITY   (China)

Author keywords

Astrocytoma; Diagnosis model; Fuzzy Bayesian networks; Machine learning

Indexed keywords

DISEASE CONTROL; FEATURE EXTRACTION; FUZZY RULES; LEARNING SYSTEMS; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; PROBABILISTIC LOGICS; SEMANTICS;

ASTROCYTOMA; DIAGNOSIS MODEL; FUZZY BAYESIAN NETWORKS;

BAYESIAN NETWORKS;

EID: 34047235149     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2006.1714008     Document Type: Conference Paper

References (7)

1. YE Chen-zhou, YANG Jie, GENG Dao-ying, ZHOU Yue, CHEN Nian-yi, "Fuzzy rules to predict degree of malignancy in brain glioma," http://ww-w.paper.edu.cn, 2005
2. Daniel Nikovski, "Constructing Bayesian networks for medical diagnosis from incomplete and partially correct statistics," IEEE Transactions on Knowledge and Engineering, Vol.12, No.4, 2000, pp.509-516
3. Basilio Sierra, Iñaki Inza and Pedro Larraňaga, "Medical Bayes networks," Springer-Verlag Berlin Heidelberg 2000, ISMDA 2000, LNCS 1933, pp.4-14
4. In-Cheol Kim and Yong-Gyu Jung, "Using Bayesian networks to analyze medical data," MLDM 2003, LNAT 2734, pp.317-327
5. Jiebo Luo, Andreas E. Savakis and Amit Singhal, "A Bayesian network-based framework for semantic image understanding," Pattern Recognition, Volume 38, Issue 6, June 2005, pp.919-934
6. David Heckerman, "A tutorial on learning with Bayesian network," Technical Report MSD-TR-95-06, Microsoft Research, March 1995
7. Jiang Xingyue, Geng Daoying and Yang Jie, "Predicting the malignant degree of astrocytoma with use of artificial neural networks: pilot study," Journal of China Medical Computer Imaging, 2004,vol.10, no.4, pp.217-220.