Kulev, Igor and Vlahu-Gjorgievska, Elena and Trajkovik, Vladimir and Koceski, Saso (2013) Recommendation algorithm based on collaborative filtering and his application in health care. In: The 10th Conference for Informatics and Information Technology (CIIT 2013), 18-21 Apr 2013, Bitola, Macedonia.
Preview |
Text
10CiiT-08.pdf Download (210kB) | Preview |
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Saso Koceski |
| Date Deposited: | 06 Mar 2015 13:35 |
| Last Modified: | 06 Mar 2015 13:35 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/8769 |
Actions (login required)
 |
View Item |