Recommendation algorithm based on collaborative filtering and his application in health care

Abstract

This paper presents a novel recommendation algorithm that generates recommendations and suggestions for preventive intervention. Presented algorithm is part of the Collaborative health care system model called COHESY. The purpose of recommendation algorithm is to give a recommendation for performing a specific activity that will improve user’s health, based on his given health condition and set of knowledge derived from the history of the user and users like him. The aim of the recommendation algorithm is to discover which activities affect change in the value of each health parameter individually. Once revealed, algorithm can use that information in situations it recognizes as same or similar to previous health conditions of a same or another user with similar medical condition. If there is evidence in users’ history, that the execution of a certain physical activity has improved user health parameters and condition, it can be concluded that the activity can help him or other users with similar health issues and improve their health condition. In this paper we also evaluate the proposed algorithm by using generic data.