A Proposed Model of Diagnosis and Prescription in Oriental Medicine Using RBF Neural Networks

Journal of Advanced Computational Intelligence and Intelligent Informatics

Volumn 10, Issue 4, 2006, Pages 458-464

  Thang, Cao ^a   Cooper, Eric W ^a   Hoshino, Yukinobu ^a   Kamei, Katsuari ^a   Phuong, Nguyen Hoang ^b  

^a RITSUMEIKAN UNIVERSITY   (Japan)

^b Ministry of Health of Vietnam   (Viet Nam)

Author keywords

decision support system; oriental medicine; RBF neural networks

Indexed keywords

DIAGNOSIS; PATIENT TREATMENT; RADIAL BASIS FUNCTION NETWORKS;

COMPUTING MODEL; DIAGNOSES OF DISEASE; DISEASE STATE; DISEASE TREATMENT; ORIENTAL MEDICINES; RBF NEURAL NETWORK; RULE INFERENCE;

DECISION SUPPORT SYSTEMS;

EID: 34047256351     PISSN: 13430130     EISSN: 18838014     Source Type: Journal    
DOI: 10.20965/jaciii.2006.p0458     Document Type: Article

References (11)

1. T. Tran, D. N. Pham, and B. C. Hoang, “Hanoi Medical University – Lectures in Oriental Medicine,” Medicine Pub., Hanoi, 2002.
2. J. Durkin, “Expert System – Design and Development,” Prentice Hall Inc., New York, 1994.
3. F. A. Maysam, D. G. von Keyserlingk, and D. A. Linkens, “Mahdi Mahfouf: Survey of utilization of fuzzy technology in Medicine and Healthcare,” Fuzzy Sets and Systems, 120, pp. 331-349, 2001.
4. H. P. Nguyen, T. T. Nguyen, C. Thang, and T. H. Duong, “Building a fuzzy expert system for syndrome differentiation in the oriental traditional medicine,” Proceedings of the Hanoi International Symposium on Medical Informatics and Fuzzy Technology (MIF’99), pp. 436-441, 1999.
5. H. P. Nguyen, S. Pratit, and K. Hirota, “Fuzzy Modeling for Modifying Standard Prescriptions of Oriental Traditional Medicine,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.7, No.3, pp. 339-347, 2003.
6. M. B. Serrano, C. Sierra, and R. Lopez de Mantaras, “RENOIR: An expert system using fuzzy logic for rheumatology diagnosis,” Internat. J. Intell. Systems, 9 (11), pp. 985-1000, 1994.
7. R. Dybowski, and V. Gant, “Clinical applications of Artificial neural networks,” Cambridge University Press, 2001.
8. C. Thang, E. W. Cooper, Y. Hoshino, and K. Kamei, “A Proposed Model of Soft Computing in Diagnosing Diseases and Prescribing Herbal Prescriptions by Oriental Medicine,” Proceedings of the First International Conference on Complex Medical Engineering (CME2005), pp. 904-908, 2005.
9. C. M. Bishop, “Neural Networks for Pattern Recognition,” Oxford University Press, 2005.
10. S. Haykin, “Neural Networks,” A Comprehensive Foundation, Prentice Hall, 1994.
11. A. Bezerianos, S. Papadimitriou, and D. Alexopoulos, “Radial basis function neural networks for the characterization of heart rate variability dynamics,” Artificial Intelligence in Medicine, 15(3), pp. 215-234, 1999.