This article aims to design a self-organizing decision support system for early detection of important physiological events. The proposed consists pre-processing, clustering and diagnostic systems based on fuzzy logic modelling. Clustering methods have been used in empirical pattern analysis. Especially when the available information is incomplete or data model subject ambiguity. applies primar...

. A decision support system SonaRes destined to guide and help the ultrasound operators is proposed and compared with the existing ones. The system is based on rules and images and can be used as a second opinion in the process of ultrasound examination.

The healthcare industry collects huge amounts of data which, unfortunately, are not turned into useful information for effective decision making. Clinical Decision support systems (CDSS) can now use advanced technologies such as On-Line Analytical Processing (OLAP) and Data Mining to deliver advanced capabilities. This paper presents a prototype CDSS using OLAP with Data Mining (OLAP Mining) wh...

Integrated care paradigms depend on multiple sources of data. The quality of data used in decision-making will ultimately affect the delivered care to the patient. Quality includes several dimensions, which may affect the result. This paper presents how data quality dimensions may affect the delivered service, and propose a conceptual framework for the classification of confidence in data used ...

This tutorial will provide attendees with a practical approach to developing and deploying clinical decision support (CDS) interventions that measurably improve outcomes of interest to a health care delivery organization. The speakers will address both foundational capabilities for building successful CDS program as well as practical details for selecting, configuring, deploying and monitoring ...

Integrating medical knowledge and advances into the clinical setting is often difficult due to the complexity of the involved algorithms and protocols. Clinical decision support systems (CDSS) assist the clinician in applying new information to patient care through the analysis of patient-specific clinical variables. Many of these systems are used to enhance diagnostic efforts and include compu...