Search results for "CDSS"
showing 4 items of 4 documents
COVID-Guide: An app for Covid-19 triage and self-assessment
2021
Introduction. The unprecedented covid-19 pandemic has shown the weaknesses of health systems and opened new spaces for e-health and telemedicine. Recent literature states that chatbots, if implemented effectively, could be useful tools for quickly sharing information, promoting healthy behaviors, and helping reduce the psychological burden of isolation. The aim of this project is to develop and test a secure and reliable computerized decision support system (CDSS) in web-app and evaluate its use, usability and its outputs in a pre-specified way. Methods. A multidisciplinary team was recruited to plan and design, based on the SMASS medical CDSS, the scenarios of the COVID-Guide web-app, a se…
A Fuzzy-based Clinical Decision Support System for coeliac disease
2022
Coeliac disease (CD) is a permanent inflammatory disease of the small intestine characterized by the destruction of the mucous membrane of this intestinal tract. Coeliac disease represents the most frequent food intolerance and affects about 1% of the population, but it is severely underdiagnosed. Currently available guidelines require CD-specific serology and atrophic histology in duodenal biopsy samples to diagnose CD in adults. In paediatric CD, but recently in adults also, non-invasive diagnostic strategies have become increasingly popular. In order to increase the rates of correct diagnosis of the disease without the use of biopsy, researchers have recently been using approaches based …
An ontology-based decision support system for interventions based on monitoring medical conditions on patients in hospital wards
2014
Masteroppgave i Informasjons- og kommunikasjonsteknologi IKT590 Universitetet i Agder 2014 In this project we present our research and implementation of an ontology-based clinical decision support system, which is supported by Sørlandet Sykehus Kristiansand. We discuss the generic technology of designing decision support systems as well as the practical implementation in our project. Firstly, we design the system structure using UML in Eclipse, based on which, the system is built in Protégé using ontology techniques. And then patients’ information and clinical rules are added in the system as the form of individuals. Finally, SPARQL query is used to query for the decisions based on the calc…
An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-C…
2020
Background Lifestyle diseases, because of adverse health behavior, are the foremost cause of death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle with early health risk prediction, personalized recommendation generation, and goal evaluation. Such an eCoach system needs to collect and transform distributed heterogenous health and wellness data into meaningful information to train an artificially intelligent health risk prediction model. However, it may produce a data compatibility dilemma. Our proposed eHealth ontology can increase interoperability between different heterogeneous networks, provide situation awareness, help in data integration, and discover…