Abstract
The differential diagnosis of endemic hemorrhagic fevers in tropical countries is by no means an easy task for medical practitioners. Several diseases often overlap with others in terms of signs and symptoms, thus making this diagnosis a difficult, error-prone process. Machine Learning algorithms possess some useful qualities to tackle this kind of pattern recognition problems. In this paper, a neural-network-based approach to the differential diagnosis of Dengue Fever, Leptospirosis and Malaria, using the Adaptive Resonance Theory Map (ARTMAP) family is discussed. The use of an Artificial Immune System (CLONALG) led to the identification of a subset of symptoms that enhanced the performance of the classifiers considered. Training, validation and testing phases were conducted using a dataset consisting of medical charts from patients treated in the last 10 years at Napoleón Franco Pareja Children Hospital in Cartagena, Colombia. Results obtained on the test set are promising, and support the feasibility of this approach.
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References
Brown, M., Vickers, I., Salas, R., Smikle, M.: Leptospirosis in Suspected Cases of Dengue in Jamaica, 2002-2007. Tropical Doctor 40(2), 92–94 (2010)
Burnet, F.: The Clonal Selection Theory of Acquired Immunity. Vanderbilt University Press (1959)
Carpenter, G.: Default ARTMAP. In: International Joint Conference on Neural Networks (IJCNN 2003), vol. 2, pp. 1396–1401. IEEE (2003)
Carpenter, G., Grossberg, S.: A Massively Parallel Architecture for a Self-Organizing Neural Pattern Recognition Machine. Computer Vision, Graphics, and Image Processing 37(1), 54–115 (1987)
Carpenter, G., Grossberg, S.: ART 2 – Self-organization of Stable Category Recognition Codes for Analog Input Patterns. Applied Optics 26(23), 4919–4930 (1987)
Carpenter, G., Grossberg, S.: ART3 – Hierarchical Search Using Chemical Transmitters in Self-Organizing Pattern Recognition Architectures. Neural Networks 3(2), 129–152 (1990)
Carpenter, G., Grossberg, S., Markuzon, N., Reynolds, J., Rosen, D.: Fuzzy ARTMAP – A Neural Network Architecture for Incremental Supervised Learning of Analog Multidimensional Maps. IEEE Transactions on Neural Networks 3(5), 698–713 (1992)
Carpenter, G., Grossberg, S., Rosen, D.: Fuzzy ART – Fast Stable Learning and Categorization of Analog Patterns by an Adaptive Resonance System. Neural Networks 4(6), 759–771 (1991)
Carpenter, G., Markuzon, N.: ARTMAP-IC and Medical Diagnosis – Instance Counting and Inconsistent Cases. Neural Networks 11(2), 323–336 (1998)
Chadwick, D., Arch, B., Wilder-Smith, A., Paton, N.: Distinguishing Dengue Fever from Other Infections on the Basis of Simple Clinical and Laboratory Features – Application of Logistic Regression Analysis. Journal of Clinical Virology 35(2), 147–153 (2006)
De Castro, L.N., Von Zuben, F.J.: Learning and Optimization Using the Clonal Selection Principle. IEEE Transactions on Evolutionary Computation 6(3), 239–251 (2002)
Downs, J., Harrison, R., Kennedy, R., Cross, S.: Application of the Fuzzy ARTMAP Neural Network Model to Medical Pattern Classification Tasks. Artificial Intelligence in Medicine 8(4), 403–428 (1996)
Ellis, T., Imrie, A., Katz, A., Effler, P.: Underrecognition of Leptospirosis During a Dengue Fever Outbreak in Hawaii, 2001-2002. Vector-Borne and Zoonotic Diseases 8(4), 541–547 (2008)
Goodman, P., Kaburlasos, V., Egbert, D., Carpenter, G., Grossberg, S., Reynolds, J., Rosen, D., Hartz, A.: Fuzzy ARTMAP Neural Network Compared to Linear Discriminant Analysis Prediction of the Length of Hospital Stay in Patients with Pneumonia. In: IEEE Intl. Conf. on Systems, Man and Cybernetics (ICSMC 1992), vol. 1, pp. 748–753 (1992)
Halstead, S.E. (ed.): Dengue, Tropical Medicine – Science and Practice. Imperial College Press (2008)
Kgrostad, D.: Plasmodium Species (Malaria). In: Mandell, G., Bennet, J.E., Dolin, R. (eds.) Principles and Practice of Infectious Diseases, pp. 2818–2831. Churchill Livingstone (2000)
Kohonen, T.: Self-Organized Formation of Topologically Correct Feature Maps. Biological Cybernetics 43(1), 59–69 (1982)
Levett, P., Branch, S., Edwards, C.: Detection of Dengue Infection in Patients Investigated for Leptospirosis in Barbados. The American Journal of Tropical Medicine and Hygiene 62(1), 112–114 (2000)
Libraty, D.H., Myint, K.S.A., Murray, C.K., Gibbons, R.V., Mammen, M.P., Endy, T.P., Li, W., Vaughn, D.W., Nisalak, A., Kalayanarooj, S., Hospenthal, D.R., Green, S., Rothman, A.L., Ennis, F.A.: A Comparative Study of Leptospirosis and Dengue in Thai Children. PLoS Neglected Tropical Diseases 1(3), e111 (2007)
Markuzon, N., Gaehde, S., Ash, A., Carpenter, G., Moskowitz, M.: Predicting Risk of an Adverse Event in Complex Medical Data Sets Using Fuzzy ARTMAP Network. Artificial Intelligence in Medicine – Interpreting Clinical Data. Technical Report Series, pp. 93–96 (1994)
Potts, J., Rothman, A.: Clinical and Laboratory Features that Distinguish Dengue from Other Febrile Illnesses in Endemic Populations. Tropical Medicine & International Health 13(11), 1328–1340 (2008)
Tappero, J., Ashford, D., Perkins, B.: Leptospira Species (Leptospirosis). In: Mandell, G., Bennet, J.E., Dolin, R. (eds.) Principles and Practice of Infectious Diseases, pp. 2495–2501. Churchill Livingstone (2000)
Tsai, T.: Flaviviruses. In: Mandell, G., Bennet, J.E., Dolin, R. (eds.) Principles and Practice of Infectious Diseases, pp. 1714–1735. Churchill Livingstone (2000)
Yang, Y.: An Evaluation of Statistical Approaches to Text Categorization. Information Retrieval 1(1), 69–90 (1999)
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Caicedo, W., Quintana, M., Pinzón, H. (2012). Differential Diagnosis of Hemorrhagic Fevers Using ARTMAP. In: Pavón, J., Duque-Méndez, N.D., Fuentes-Fernández, R. (eds) Advances in Artificial Intelligence – IBERAMIA 2012. IBERAMIA 2012. Lecture Notes in Computer Science(), vol 7637. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34654-5_23
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DOI: https://doi.org/10.1007/978-3-642-34654-5_23
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