Providing Collaborative Algorithms Support for Personal Health Care

Abstract

Problem statement: Today, there is a growing interest towards the adoption of novel technology in the field of medical monitoring and personal health care systems in general. This is especially case with certain categories of people suffering from chronicle diseases that need 24 h access to medical care. Approach: To solve this challenging issue, a model of a system containing three levels: bionetwork, social community and primary and secondary health-care centers, was developed. The main purpose of the proposed methodology is to find the dependency of the users’ health condition (obtained by bionetwork) and physical activity he/she perform (get by mobile application). To achieve this we consider datasets from the health history of users (obtained from clinical centers) and use classification algorithms on these datasets for grouping the users based on their similarity. Results: Developed model of a system which enables 24 h monitoring of the condition of patients and the possibility of sending an emergency call for sudden deterioration of his/her medical condition. In addition, the system enables the patient (system user) to contact other people with similar condition and exchange their experience. Conclusion: The system improves the terms of home care treatment of the patient and increases the medical capacity of the appropriate healthcare institutions which results in significant reduction of the overall costs for patients and hospitals.