专门的MLP分类器支持肺结核疑似患者的分离

Errison dos Santos Alves, J. B. O. S. Filho, Rafael Mello Galliez, A. Kritski
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引用次数: 5

摘要

结核病是一种在发展中国家广泛存在的传染病,其主要原因是难以快速有效地诊断。为了减少医院对疑似结核病患者的不必要隔离,从而优化卫生资源的利用,我们提出了一种基于专业MLP网络委员会的决策支持系统的系统流程。基于3个MLP模型的系统对k-means技术推断的输入数据簇做出响应,在假阳性数量方面表现出比单一网络更好的分类性能,灵敏度为83.3%,特异性为94.3%。
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Specialized MLP Classifiers to Support the Isolation of Patients Suspected of Pulmonary Tuberculosis
Tuberculosis is an infectious disease widely present in developing countries, which is largely motivated by the difficulty of a rapid and efficient diagnosis. In order to reduce the number of patients suspected of having TB unnecessarily isolated in hospitals, thus optimize the use of health resources, we propose a systematic procedure for developing a decision support system based on specialized MLP network committee. The system based on 3 MLP models, which response to input data clusters inferred by the k-means technique, exhibits a better classification performance than a single network in terms of the number of false positives, achieving a sensitivity of 83.3% and specificity of 94.3%.
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