Self Diagnosis, Computer Aided Diagnosis
A computer aided diagnosis approach to detect potential diseases based on symptoms. Baseline models were Naive Bayes, 4-layerd deep neural network and Gradient Boosted Tree(XG-Boost). best performing model was implemented in detecting Tuberculosis and Hepatitis.
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