Reduction of invasive tests in chagasic patients with a modified self-organizing mapMarmol-Herrera, L. and Warwick, K. (2001) Reduction of invasive tests in chagasic patients with a modified self-organizing map. In: 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, pp. 1676-1679. ISBN 0780372115 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1109/IEMBS.2001.1020537 Abstract/SummaryThe applicability of AI methods to the Chagas' disease diagnosis is carried out by the use of Kohonen's self-organizing feature maps. Electrodiagnosis indicators calculated from ECG records are used as features in input vectors to train the network. Cross-validation results are used to modify the maps, providing an outstanding improvement to the interpretation of the resulting output. As a result, the map might be used to reduce the need for invasive explorations in chronic Chagas' disease.
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