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...

BACKGROUND The problem list is a key part of the electronic health record (EHR) that allows practitioners to see a patient's diagnoses and health issues. Yet, as the content of the problem list largely represents the subjective decisions of those who edit it, patients' problem lists are often unreliable when shared across practitioners. The lack of standards for how the problem list is compiled...

OBJECTIVE Individual users' attitudes and opinions help predict successful adoption of health information technology (HIT) into practice; however, little is known about pediatric users' acceptance of HIT for medical decision-making at the point of care. MATERIALS AND METHODS We wished to examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Compute...

Quality of decisions based on the decision-theoretic approach depends on the quality of the underlying models. Construction of these models is outside of the realm of both probability theory and decision theory and is usually very laborious. Aiding model building in computer systems can significantly reduce the model construction time while increasing model quality and can contribute to a wider...

Material management in opencast mines is concerned with planning, organizing, and control of the flow of materials from their extraction points to destinations. It can be strongly affected by operational decisions that have to be made during the production process. To date, little research has focused on the application of simulation modeling as a powerful supportive tool for decision making in...

Clinical Decision Support System (CDSS) is a tool which helps doctors to make better and uniform decisions. There are many existing systems present which are used for diagnosing the diseases. For different types of diseases the existing CDSS systems changes with different algorithmic approaches. Every approach has its pros and cons. Selecting the positive aspect and overcoming the problems is t...

Results of an experiment comparing face-to-face groups with anonymous and identified computer-supported groups challenged theoretical arguments (V. S. Rao & S. L. Jarvenpaa, 1991) that computer-based group decision support systems (GDSS) can increase group decision quality by facilitating expression of minority opinions. In groups working on a hidden-profile investment decision task, minority o...

In this special issue of the Open Medical Informatics Journal, four papers are presented describing various approaches to the general problem of scaling clinical decision support (CDS) – providing CDS across potentially multiple electronic medical record systems (EMR) in varying clinical practice environments, and the methods of representing, encoding, and sharing knowledge to support such serv...