Abstract

Introduction: Today, cardiovascular disease is a major threat to advanced human societies, and is acting as a major cause of disability in many aspects of a patient and family members' lives, including their quality of life. Therefore, the aim of the present study is to provide models for classifying and determining the factors influencing the allocation of family-centered empowerment model to further improve the psychological quality of life of these patients. Materials and Methods: In this study, data from a clinical trial study were used in which 70 patients with myocardial infarction who randomly received a family-centered empowerment pattern and control group. A model of linear mixed effects and then learning algorithms were used to predict the success or failure of the empowerment model. Results: In this study, the decision tree model was able to accurately predict more than 96% of patients (Kappa=0.828, ROC=0.96). Physical functions, walking status, creatinine level, EF level, employment status, gender, stress level and body mass index were identified as the effective factors in assigning a family-centered empowerment pattern (P value <0.05). This process was done through software of SPSS24, SAS9.1 and WEKA 3.6.9 Conclusion: The decision tree model was able to correctly classify more than 96% of patients; if a family-centered empowerment model was assigned, this model would improve the psychological dimension of their quality of life.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.