Publication Date


Degree Type

Master's Project

Degree Name

Master of Science (MS)


Computer Science


Searching for health resources is difficult for many individuals because it requires domain knowledge and understanding of search engines techniques. Our system proposes a paradigm shift whereby users provide as much or as little information as they feel comfortable, and we endeavor to match them with relevant health resources. The system first attempts to identify risk factors through a heuristic engine that employs fuzzy logic and then searches for health resources based on the user’s profile. We aim to unburden the user from having to understand complex health information and sometimes esoteric search techniques. Our preliminary findings show that a fuzzy-based rule engine has utility for determining alcohol suggested care and finding health resources for both alcohol and cigarette dependencies.