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This article uses two computational techniques to detect Hepatitis, an inflammatory disease that affects the liver. An evaluation of techniques to detect it is presented, including KD-Trees and Neural Networks.… Click to show full abstract
This article uses two computational techniques to detect Hepatitis, an inflammatory disease that affects the liver. An evaluation of techniques to detect it is presented, including KD-Trees and Neural Networks. The results show that KDTrees system had a 59% of success while the neural network system had a 72% of success rate. Also, an analysis was carried out for each result employing receiver operating characteristic curves.
Keywords:
diagnosis using;
optimized trees;
neural networks;
hepatitis diagnosis;
trees neural;
using optimized
Journal Title: International journal of engineering research and technology
Year Published: 2020
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Journal Title: International journal of engineering research and technology
Year Published: 2020
Link to full text (if available)
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recommendations!