Predictive analytics of emotional intelligence in women suffering with breast cancer

Abstract

Now a day’s women suffer with Breast cancer due to depression and anxiety result in life threat which is second place in various types of cancers. The goal of this study is to investigate the association between resilience and cognitive sentiment analysis and mental health of the woman who suffered by breast cancer. Develop a statistical model by utilizing the multiple regressions for predicting breast cancer patients, which involves the least square’s inference problem to approximation the parameters. The implementation results exhibit significant association between refusal resilience and cognitive sentiment analysis and mental health of breast cancer patients. Also, predicting obsessive rumination of breast cancer patients and their sentiment analysis is the preeminent refusal for the healthiness of the model.