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| Predicting Antibiotic Susceptibility Using Artificial Neural Network |
Ahmad Marouf, Samy S. Abu-Naser
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Abstract:
In this research, an Artificial Neural Network (ANN) model was developed and tested to predict efficiency of antibiotics in treating various bacteria types. Attributes that were taken in account are: organism name, specimen type, and antibiotic name as input and susceptibility as an output. A model based on one input, one hidden, and one output layers concept topology was developed and trained using a data from Queensland government's website.
The evaluation shows that the ANN model is capable of correctly predicting the susceptibility of organisms to the antibiotics with 98% accuracy
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