Cancer Classification Using Gaussian Naive Bayes Algorithm

Cancer is one of the most deadly diseases in the world and it is a subject of concern because until till date they cannot found the real treatment for this disease. If and only if this disease is detected in early stage, patients having this disease can be saved. If it is detected in latter stage th...

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Bibliographic Details
Published in2019 International Engineering Conference (IEC) pp. 165 - 170
Main Authors Kamel, Hajer, Abdulah, Dhahir, Al-Tuwaijari, Jamal M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2019
Subjects
Accuracy
Breast cancer
Cancer
Classification
Classification algorithms
Gaussian distribution
IEC
Lung cancer
Naive Bayes methods
Pre-processesing and Gaussian Naï ve Bayes
Prediction algorithms
Predictive models
Z- Score Normalization
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Summary:Cancer is one of the most deadly diseases in the world and it is a subject of concern because until till date they cannot found the real treatment for this disease. If and only if this disease is detected in early stage, patients having this disease can be saved. If it is detected in latter stage then chance of survival will be very less. Because of this, early and true diagnosis is an important issue and plays a key role to cure this disease. In the work, Gaussian Naive Bayes algorithm is used for classification cancer. The algorithm is tested by applying it on two datasets in which the first is Wisconsin Breast Cancer dataset (WBCD) and the second is lung cancer dataset. The evaluation results of the proposed algorithm have achieved 98% accuracy of predicting breast cancer and 90% of predicting lung cancer.
DOI:10.1109/IEC47844.2019.8950650