Personal Healthcare System Model using Collaborative Filtering Techniques

Abstract

Today, there is a growing interest towards the adoption of mobile devices and technology in the field of medical monitoring and personal health care systems in general. This is especially a case with certain categories of people with chronicle diseases who need 24 hour access to medical care. In this paper we are presenting the model of the health care system (Cohesy) that use collaborative techniques for communication between users, filtering large amount of data and generating different recommendation, notification and suggestion to the users. This system offers 24 hour monitoring of the condition of the patients and the possibility of sending an emergency call for sudden deterioration of their medical condition. In addition, the system enables the patient (system user) to contact other people with similar condition and exchange their experience. This system model improves the terms of home care treatment of the patient and also increases the medical capacity of the appropriate institutions. The result is significant reduction of the overall costs for patients and hospitals.