Class imbalance and class overlap are two of the major problems in data mining and machine learning. Several studies have shown that these data complexities may affect the performance or behavior of artificial neural networks. Strategies proposed to face with both challenges have been separately applied. In this paper, we introduce a hybrid method for handling both class imbalance and class ove...

Although associations between work stressors and stress-related biomarkers have been reported in cross-sectional studies, the use of single time measurements of work stressors could be one of the reasons for inconsistent associations. This study examines whether repeated reports of work stress towards the end of the working career predicts allostatic load, a measure of chronic stress related ph...

Online class imbalance learning deals with data streams having very skewed class distributions in a timely fashion. Although a few methods have been proposed to handle such problems, most of them focus on two-class cases. Multi-class imbalance imposes additional challenges in learning. This paper studies the combined challenges posed by multiclass imbalance and online learning, and aims at a mo...

BACKGROUND Previous surveys of psychological strain in the Naval Service (NS) have shown higher than expected levels of strain when compared to the general population. AIM To repeat the survey last carried out in 2004 and to obtain further information on the nature of the occupational stressors associated with strain. METHODS General Health Questionnaire-12 strain rates and job/life stresso...

OBJECTIVES Longitudinal studies have linked stress at work with a higher incidence of musculoskeletal pain. We aimed to explore the extent to which musculoskeletal pain is a cause as opposed to a consequence of perceived occupational stress. METHODS As part of the international cultural and psychosocial influences on disability study, we collected information from 305 Italian nurses, at basel...