Using hierarchical soft computing method to discriminate microcyte anemia

Expert Systems with Applications

Volumn 29, Issue 3, 2005, Pages 515-524

  Yeh, Jehn Shan ^a   Cheng, Ching Hsue ^b  

^a St Joseph Hospital   (Taiwan)

^b NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

ANFIS reasoning in medicine; Hierarchical soft computing; Microcyte anemia

Indexed keywords

BLOOD; COMPUTATIONAL METHODS; CYTOLOGY; DIAGNOSIS; IRON; MEDICINE;

ANFIS REASONING IN MEDICINE; COMPLETE BLOOD COUNT (CBC); HIERARCHICAL SOFT COMPUTING (HSC); MICROCYTE ANEMIA;

MEDICAL PROBLEMS;

EID: 24144470482     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.04.012     Document Type: Article

References (28)

1. Y. Akai, F. Kubota, S.K. Bichile, N.B. Mehta, P.R. Pangam, and V. Parekh A study of β thalassemia screening using an automated hematology analyzer Sysmex Journal Interational 8 1998 2
2. S.Y. Bela, A. Fouad, G. Taktak, A.J. Nevill, and S.A. Spencer Automatic detection of distorted plethysmogram pulses in neonates and paediatric patients using an adaptive-network-based fuzzy inference system Artificial Intelligent in Medicine 24 2002 149 165
3. Bezdek, J.C. (1973). Fuzzy mathematics in pattern classification. PhD Thesis. Ithaca: Applied Mathematical Center, Cornell University.
4. N.I. Birndorf, J.O. Pentecost, and J.R. Coakley An expert system to diagnose anemia and report results directly on hematology forms Computers and Biomedical Research 29 1996 16 26
5. M. Bruno Relevance of red cell distribution width in the differential diagnosis of microcytic anemias Clinical Laboratory Haematology 13 1991 141 151
6. I.V. Cadez, G.J. McLachlan, and C.E. McLaren Maximum likelihood estimation of mixture densities for binned and truncated multivariate data 2001 Kluwer Academic Publishers Dordrecht
7. R.O. D'Aquila, C. Crespo, J.L. Mate, and J. Pazos An inference engine based on fuzzy logic for uncertain and imprecise expert reasoning Fuzzy Sets and Sytems 129 2003 187 202
8. J.M. DeLeo, and S.J. Rosenfeld Essential roles for receiver operating characteristic (ROC) methodology in classifier neural network applications Proceedings of the International Joint Conference on Neural Networks 4 2001 2730 2731
9. Drews, R. E. (2003). A primer on anemia evaluation with case presentations in cardiovascular update, 10, 4.
10. J.M. England, and P. Fraser Discrimination between iron-deficiency and heterozygous-thalassemia syndromes in differential diagnosis of microcytosis Lancet 1 1979 145 148
11. R. Jang, C.T. Sun, and E. Mizutani Neuro-fuzzy and soft computing 1997 Matlab Curriculum Series
12. C.H. Lee, C.W. Lee, W.L. Mak, and S.C. Szeto Transferrin saturation for the diagnosis of iron deficiency in febrile anemic children 2003 Kong Practitioner The Hong
13. M.K. Markey, J.Y. Lo, G.D. Tourassi, and C.E. Floyd Self-organizing map for cluster analysis of a breast cancer database Artificial Intelligence in Medicine 27 2003 113 127
14. McLaren, C. E., Cadez, I. V., Smyth, P., & McLachlan, G. J. (2001). Classification of disorders of anemia on the basis of mixture model parameters. Technical Report 12. 01:56.
15. W.G. Mentzer Differentiation of iron deficiency from thalassemia trait Lancet 1 1973 882
16. F. Rosner, and H.W. Gunwald The patient with anemia Hematology Update for Psychiatrists 26 1997 177 180
17. I. Shine, and S. Lal A strategy to detect beta-thalassemia minor Lancet 1 1977 692 694
18. P.C. Srivastava, and J.M. Bevington Iron deficiency and-or thalassemia trait Lancet 1 1973 832
19. H. Valafar, F. Valafar, A. Dravill, P. Albersheim, A. Kutlar, and K.F. Woods Predicting the effectiveness of hydroxyurea in individual sickle cell anemia patients Artificial Intelligence in Medicine 18 2000 133 148
20. L. Van Hove, T. Schisano, and L. Brace Anemia diagnosis classification, and monitoring using cell-dyn technology reviewed for the mew millennium Laoratory Hematology 6 1999 93 108
21. I. Virant-Klun, and J. Virant Fuzzy logic alternative for analysis in the biomedical sciences Computers and Biomedical Research 32 1999 305 321
22. K. Woods, and K.W. Bowyer Generating ROC curves for artificial neural networks IEEE Transactions on Medical Imaging 16 3 1997 329 337
23. L.A. Zadeh Fuzzy sets Information and Control 8 1965 338 353
24. L.A. Zadeh Outline of a new approach to the analysis of complex systems and decision processes IEEE Transactions on Systems, Man, and Cybernetics 1 1973 28 44
25. L.A. Zadeh The concepts of a linguistic variable and its application to approximate reasoning Information Science 8 1975 199 249(I)
26. L.A. Zadeh The concepts of a linguistic variable and it's application to approximate reasoning Information Science 8 1975 301 357(II)
27. Zadeh, L. A. (1992). Fuzzy logic, neural networks and soft computing. One-page course announcement of CS 294-4, C
28. D.Q. Zhang, and S.C. Chen A novel kernelized fuzzy C-means algorithm with application in medical image segmentation Artificial Intelligence in Medicine 32 2004 37 50