Search results for "Support system"

MODELLING VAGUE KNOWLEDGE FOR DECISION SUPPORT IN PLANNING ARCHAEOLOGICAL PROSPECTIONS

2012

Abstract. Most archaeological predictive models lack significance because fuzziness of data and uncertainty in knowledge about human behaviour and natural processes are hardly ever considered. One possibility to cope with such uncertainties is utilization of probability based approaches like Bayes Theorem or Dempster-Shafer-Theory. We analyzed an area of 50 km2 in Rhineland Palatinate (Germany) near a Celtic oppidum by use of Dempster-Shafer's theory of evidence for predicting spatial probability distribution of archaeological sites. This technique incorporates uncertainty by assigning various weights of evidence to defined variables, in that way estimating the probability for supporting a …

Image Segmentation Techniques for Healthcare Systems

2019

The present special issue of the Journal of Healthcare Engineering collects articles written by researchers scattered around the world who belong to the academic and industrial environments. The papers of this special issue have been selected by a rigorous peer-reviewing process with the support of at least two reviewers per paper, along with the opinion written in the final decision by a component of the editorial staff. Different methods on biomedical image segmentation dedicated to healthcare systems have been developed regarding, for example, the fields of machine learning, deformable models, fuzzy models, and so on. Such methods have been applied on different biomedical image modalitie…

Bridging from research evidence to health policy and from health policy to clinical practice: the case of the Spanish strategy for mental health

2009

Introduction: In the last 30 years the Spanish NHS has evolved from a tightly centralized structure to seventeen autonomous regional health systems. As a result a number of benefits have been obtained but also important side-effects such as unjustified variation in clinical practice and a substantial loss of equity. Description: To deal with these unwanted developments the Spanish Inter-territorial Board of the NHS has recently approved and launched several health strategies on priority areas: diabetes, coronary ischemia, palliative care, cancer and mental health. The strategies are based on scientific evidence or consensus and they have been agreed on by all the regions. However, the degre…

Effects of a Justice-Based Partnership Between Employees and Families in Creating Services and Supports to Enhance Quality of Life Outcomes

2021

Abstract We propose a justice-based partnership between employees and family members as a means to create services and support systems for people with intellectual disability, enhancing quality of life indicators. More specifically, we examine the links from mutual intergroup justice to three outcomes reported by family members: satisfaction with the center, service quality delivered by employees, and performance focused on the quality of life of people with intellectual disability. We used data from 111 centers. In each center, a group of family members (n = 845) and a group of employees (n = 914) participated. Multilevel modeling revealed that mutual intergroup justice (between employees …

A Decision Support Tool for Appropriate Glucose-Lowering Therapy in Patients with Type 2 Diabetes

2015

Contains fulltext : 152084.pdf (Publisher’s version ) (Open Access) BACKGROUND: Optimal glucose-lowering therapy in type 2 diabetes mellitus requires a patient-specific approach. Although a good framework, current guidelines are insufficiently detailed to address the different phenotypes and individual needs of patients seen in daily practice. We developed a patient-specific decision support tool based on a systematic analysis of expert opinion. MATERIALS AND METHODS: Based on the American Diabetes Association (ADA)/European Association for the Study of Diabetes (EASD) 2012 position statement, a panel of 12 European experts rated the appropriateness (RAND/UCLA Appropriateness Method) of tre…

Off-line control of the postprandial glycemia in type 1 diabetes patients by a fuzzy logic decision support

2012

The target of this paper is to describe the use of fuzzy techniques in the development of a decision support system that allows the optimization of postprandial glycemia in type 1 diabetes patients taking into account the kind of meal taken by patients, the preprandial glycemia and the insulin resistance (the response of the body to insulin dose injection therapy). The decision support system can, in many cases, provide patients with the correct number of rapid insulin units that must be assumed to assure an optimal glycemic profile, keeping the blood glucose level close to the homeostatic condition, several hours after the meal.

Abstracts from the 1st International Symposium on Decision Support in Anaesthesia and Intensive Care

1997

Clinical Decision Support System To Prevent Toxicity In Patients Treated With Digoxin

2011

In this chapter, authors develop a system for prevention and detection of congestive heart failure and fibrillation. Due to its narrow therapeutic range more than 10% of the patients treated with DGX can suffer toxic effects, but it is estimated that half of the cases of digitalis toxicity could be prevented. Two multivariate models were developed to prevent digitalis toxicity.

Treating Sleep Disorders with an ACT-Based Behavior Change Support System

2017

Suitable duration and appropriate quality of sleep are essential for mental and cognitive wellbeing. Sleep disorders, whether mild or severe, have proven to have adverse effects on general wellbeing. One's quality of life could be disturbed as a consequence of various mental conditions, sleep disorders being one of them. Researchers have started paying attention to designing, implementing and evaluating eHealth interventions to address sleep disorders. In this chapter, we highlight findings from a field study that was conducted to evaluate effect of software features on a Web-based intervention for sleep disorders. Tyyne is a Web-based eHealth intervention that will be repeatedly mentioned …

Towards a reduction of greenhouse gas emission from wastewater treatment plants: a new plant wide experimental and modelling approach

2016

The increasing interest in greenhouse gas (GHG) emissions from wastewater treatment plants (WWTPs) has led to the development of new tools for their design and management. Studies about gas emissions show that the sewer collection and the wastewater treatment plant are anthropogenic GHG potential sources, so they contribute to the climate change and air pollution. A wastewater treatment plant receives wastewater from sewers and, while produces treated water for discharge into surface water, emits the three major greenhouse gases, CO2, CH4, and N2O, during the treatment processes, and additional amounts of CO2 and CH4 from the energy demands (Bani Shahabadi et al., 2009). Indeed, energy cons…