WEB-BASED EXPERT SYSTEM TO DIAGNOSE OVARIAL CYST DISEASE USING CERTAINTY FACTOR METHOD

Ovarian cysts are one of the most common forms reproductive disease affecting women. Cyst or tumor is a form abnormality that can be regarded as benign growth smooth muscle cells in ovaries. Cysts usually harmless but do not rule out possibility malignant cyst even turn into cancer. The thing makes ovarian dangerous when they burst, very large, block blood supply to Lack knowledge general public about symptoms cause it too late detect this early so slow handling, there some tumors which become only detected having cysts, well unhealthy lifestyles today's society such consuming alcohol, fast food, causing body produce more chemicals. To overcome problem, design web-based expert system diagnose using certainty factor method made assist users diagnosing through feel. used Certainty Factor method. From calculations have been inputted by user, results obtained 97% confidence patient likely diagnosed with cystadenoma ovarii mucinosum. With program, hoped felt minimize becoming malignant.