Health risk analysis system for family caregiver of disabled person

The nursing care for family caregiver of disabled person is an important task for long-term care, since the caring people with disabilities is the difficult and hard task. In this paper, the Health Risk Analysis System or HRAS is introduced for identifying the health risk level in three aspects — are mental, physical, and social health aspects, and provides the intervention according to the health risk level. The HRAS is the client-server system. The HRAS client runs on web-based application to collect the health data via online questionnaire and shows the analysis results. The collected health data are transmitted to the server to assess the health risk level by using the proposed classifier named Risk Analysis Classifier or RAC. The classification algorithm and rule-based classifier are used to build the RAC. The RAC is evaluated using k-fold cross validation and the expert with annotated health data and unseen data. The evaluation results found that Neural Network does the best performance overall which it achieves the accuracy above 90% in all health data sets. Thus, the Neural Network is the most suitable classifier for this work. In addition, the HRAS has been deployed and collected the user experience via formal survey. These survey results demonstrate that the system provides high accuracy assessment and very utilization in several aspects.