The joint workshop in Data Mining for Environmental Scientists and Intelligent Environmental Decision Support Systems tries to provide a common discussion forum to communicate environmentalists with data miners and intelligent decision support systems developers. As environmentalists are the consumers of both products, Data Mining (DM) and Intelligent Decision Support Systems (IDSS) are complem...

Clinical Decision Support Systems (CDSS) are considered essential tools of evidence-based medicine. These systems provide physicians, caregivers and also patients with clinical knowledge needed and patient or disease specific information to help them make effective decisions that would enhance patient care and improve clinical outcomes. The lack of well-described success factors is the main cha...

In this paper we discuss different architectures for reasoning under uncertainty related to our ongoing research into building a medical decision support system. The uncertainty in the medical domain can be divided into a well understood part and a less understood part. This motivates the use of a hybrid decision support system, and in particular, we argue that a Bayesian network should be used...

There is wide variability in the use and adoption of recommendations generated by computerized clinical decision support systems (CDSSs) despite the benefits they may bring to clinical practice. We conducted a systematic review to explore the barriers to, and facilitators of, CDSS uptake by physicians to guide prescribing decisions. We identified 58 studies by searching electronic databases (19...

A critical issue in the clinical decision support system (CDSS) research area is how to represent and reason with both uncertain medical domain knowledge and clinical symptoms to arrive at accurate conclusions. Although a number of methods and tools have been developed in the past two decades for modelling clinical guidelines, few of those modelling methods have capabilities of handling the unc...

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...

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...

BACKGROUND We have carried out an extensive qualitative research program focused on the barriers and facilitators to successful adoption and use of various features of advanced, state-of-the-art electronic health records (EHRs) within large, academic, teaching facilities with long-standing EHR research and development programs. We have recently begun investigating smaller, community hospitals a...

Data warehousing is becoming an indispensable component in data mining process and business intelligence. Data warehouses often act as a data collector, data integrator and data provider in the data mining process. This paper reviews the development and use of a clinical data warehouse specific to the Lymphoma or Lymph Node cancer, which could be used by doctors, physicians and other health pro...