Abstract:
WHO estimates that 9.6 million people died from cancer worldwide in 2018. 3 lakh children under 19 get cancer each year. Cancer is one of the deadliest diseases. However, early detection can prevent and cure 50% of cancers. If not, it could be fatal. Thus, a system or technology that helps doctors detect cancer early and treat it effectively is even more important.
A Cancer Prediction System using the Naïve Bayes Machine Learning algorithm solves this problem using advanced technology and artificial intelligence. This system uses probabilistic and optimization methods to draw conclusions from past datasets. This evaluation method helps doctors and pathologists detect cancer early enough to prevent and treat it, saving lives.
This intelligent online system gives cancer patients instant advice. The Cancer Disease Prediction web application supports and consults users. Details and Cancer diseases are fed to the application.
Users can discuss cancer issues. It then checks user inputs for cancer diseases. We use Naïve Bayes to predict the user’s most likely cancer disease. System automatically sends results to specific doctors for treatment. The system displays doctor information.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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