D. K. Tekkedil

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This paper presents the framework and aspects of the development effort for a knowledge-based artificial neural network for diagnosis of pulmonary embolism. The knowledge-based artificial neural network architecture is instantiated and initialized through the modified Prospective Investigation of Pulmonary Embolism Diagnosis (PIOPED) criteria, which(More)
This paper aims to demonstrate that knowledge-based hybrid learning algorithms are positioned to offer better performance in comparison with purely empirical machine learning algorithms for the automatic classification task associated with the diagnosis of a medical condition described as pulmonary embolism (PE). The main premise is that there exists(More)
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