Ergonomic risk assessment in DHM tools employing motion data - exposure calculation and comparison to epidemiological reference data

Employing data mining to explore association rules in drug addicts

Drug addiction is a major social, economic, and hygienic challenge that impacts on all the community and needs serious threat. Available treatments are successful only in short-term unless underlying reasons making individuals prone to the phenomenon are not investigated. Nowadays, there are some treatment centers which have comprehensive information about addicted people. Therefore, given the ...

Predicting the Credit Risk of Loans Using Data Mining Tools

 One of the most common causes or credit phenomenon that is taken into account for credit risk is the customer’s noncompliance with the commitments. Thus, by predicting the behavior of loan applicants, the growth rate of debts can be decreased. Hence, this study is conducted on corporate applicants for loans in one of the public banks in Iran. In this paper, the main elements comprising the cus...

[Exposure to ergonomic risk by occupation in Spanish working: a data exploitation of MatEmESp].

BACKGROUND Ergonomic hazards exposure is the main cause of occupational pain. The aim of this paper is to describe the prevalence of exposure to occupational physical load by occupation, in Spanish working population, and its relationship to employment conditions and sociodemographic characteristics of workers. METHODS We used the information contained in the Spanish Job-Exposure Matrix (MatE...

Dynamic control of DHM for ergonomic assessments

Physical risk factors assessment is usually conducted by analysing postures and forces implemented by the operator during a work-task performance. A basic analysis can rely on questionnaires and video analysis, but more accurate comprehensive analysis generally requires complex expensive instrumentation, which may hamper movement task performance. In recent years, it has become possible to stud...

Universitet Benchmark dose calculation from epidemiological data