Search results for "decision support"
showing 10 items of 377 documents
Hume’s Guillotine Resolved
2020
According to Hume’s guillotine, one cannot derive values from facts. Since intelligent systems are fact processors, one can ask how ethical machines can be possible. However, ethics is a real-life process. People analyze actions and situations emotionally and cognitively. Thus they learn rules, such as “this situation feels good/bad.” The cognitive analysis of actions is associated with emotional analysis. The association of action, emotion and cognition can be termed a primary ethical schema. Through an ethical information process in which emotions and cognitions interact in social discourse, primary ethical schemas are refined into ethical norms. Each component of the process is different…
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 …
Effect of using cardiovascular risk scoring in routine risk assessment in primary prevention of cardiovascular disease: an overview of systematic rev…
2019
Background Our objectives were to critically appraise and summarise the current evidence for the effectiveness of using cardiovascular disease (CVD) risk scoring (total risk assessment - TRA) in routine risk assessment in primary prevention of CVD compared with standard care with regards to patients outcomes, clinical risk factor levels, medication prescribing, and adverse effects. Methods We carried out an overview of existing systematic reviews (SRs). Presentation of the results aligned guidelines from the PRISMA statement. The data is presented as a narrative synthesis. We searched MEDLINE (Ovid), EMBASE, CENTRAL and SCOPUS databases from January 1990 to March 2017, reviewed the referenc…
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…
Application of the threshold of toxicological concern (TTC) to the safety evaluation of cosmetic ingredients.
2007
The threshold of toxicological concern (TTC) has been used for the safety assessment of packaging migrants and flavouring agents that occur in food. The approach compares the estimated oral intake with a TTC value derived from chronic oral toxicity data for structurally-related compounds. Application of the TTC approach to cosmetic ingredients and impurities requires consideration of whether route-dependent differences in first-pass metabolism could affect the applicability of TTC values derived from oral data to the topical route. The physicochemical characteristics of the chemical and the pattern of cosmetic use would affect the long-term average internal dose that is compared with the re…
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.