Predictive Analytics of Emotional Intelligence in Women Suffering with Breast Cancer
V Kakulapati1, B.S.S. Deepthi2, S. Mahender Reddy3
1V Kakulapati, Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, India.
2B.S.S. Deepthi, Mamatha Medical College, Khammam, Telangana, India.
3S. Mahender Reddy, Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, India.
Manuscript received on 03 April 2019 | Revised Manuscript received on 10 April 2019 | Manuscript Published on 13 April 2019 | PP: 29-32 | Volume-8 Issue-6C April 2019 | Retrieval Number: F12150486C19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Statistical Model; Negation Resilience; Cognitive Emotion; Obsessive Rumination; Cancer.
Scope of the Article: Visual Analytics