Abstract:
Stress can affect on heath if on certain time vital moves were not made to control pressure than it might create cancer in human body. Cervical and ovarian cancer is one of these days the most frightening illness amongst females in the midst approaching nation alike Bangladesh. The Bangladesh community are lacking behind in educational activity and awareness about these two cancers. There is no prediction for Bangladeshi female in this modern age. Purpose: To find out the association between factors and the most significant factors of stress, cervical, ovarian cancer. Contribute a prediction on befalling cervical and ovarian cancer based on their worthy factors as well as stress parameters. Methods: A study has been made with case control on 298 patients having cervical and 522 patients of ovarian cancer. Cases of 197 and control of 100 were considered for cervical cancer. In case of ovarian cases of 267 and control of 254 beheld for data mining analysis. Data of 161 persons were taken on stress from NINH. Performance were analyzed with model e.g. Logistics Regression, Random Forest, AdaBoost, Naïve Bayes, Neural Network, kNN, CN2 rule Inducer, Decision Tree, Quadratic Classifier were compared with their standard metrics. For certainty info gain, gain ratio, gini index were revealed of both cervical and ovarian cancer. Attributes were ranked using different feature selection evaluators. Then the most significant analysis was made with the significant factors. Factors like children, age of first intercourse, age of husband, pap test, age are significantly higher factors of cervical cancer. Contradictorily, genital area infection, pregnancy problem, use of drugs, abortion, number of children important factors of ovarian cancer. The analysis was made with significant factors of stress, cervical and ovarian cancer that will help us to forecast the
risk of occurring cervical or ovarian cancer and might help to abate the cancer not just from Bangladesh but also all over the world.