Work

A knowledge-based architecture for integrating and interpreting population health data

Year: 2012

Type: conference-paper

Abstract: In this paper, we describe our ongoing effort on the design and development of a knowledge-based system for monitoring and analyzing evidence-based population health indicators, with focus on indicators of chronic diseases related to obesity. The knowledge based system facilitates measuring the quality of obesity prevention programs and assists diagnostic and therapeutic decision-making and policy development.

Source: Annual International Conference on Digital Government Research

DOI: 10.1145/2307729.2307787

Authors: Arash Shaban-Nejad, Yu Ma, Masoumeh Izadi, Laurette Dube, Luke Mondor, David L. Buckeridge

Institutions: McGill University, University of Alberta

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: Canadian Institutes of Health Research