Predicting Tumor Category Using Artificial Neural Networks
Creators
- 1. Department of & Information Technology , Faculty of Engineering & Information Technology, Al-Azhar University - Gaza, Palestine
Description
In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested.
Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained using data set which its title is “primary tumor” and was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia
Test data evaluation shows that the ANN model is able to correctly predict the tumor category with 76.67 % accuracy.
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6-15 Ibrahim M. Nasser.pdf
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Additional details
References
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