Emotion Regulation in Breast Cancer Patients: Initial Study with Regression Models

Positive emotion regulation is perceived that contribute to improving the health of patients diagnosed with cancer. To our best knowledge, there are no systematic studies that conclusively support this perception. Existing research analyzes just negative emotions and their impact on health. We intend an initial development of linear regression method, Support Vector Machine (SVM) and Random Forest Regression algorithm (RFR) for running computational simulations to predict scenarios on the quantifying impact of positive emotion management, regarding the immune response of patients diagnosed with breast cancer. The models were assessed with <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$R^{2}$</tex>, Mean Square Error (MSE) and Mean Absolute Error (MAE). The small got results outline the benefit of the proposed approach in predicting the good impact of positive emotions regulation on the health of breast cancer patients.