In this paper, we describe a machine learning approach for predicting health indicators with large time horizon into the future. The uses state-of-the-art neural network architectures sequence modelling and can incorporate numerical-sensor categorical data using entity embeddings. Moreover, an unsupervised labelling where classes are generated continuous sensor values in training clustering alg...

health of the workforce during the Second World War, he wrote that, "it was a matter of surprise and relief that the general standard of Industrial Health has kept at such a high level"'.1 At the outbreak of war the health of the workforce had been expected to decline although experience in the First World War had shown that the health of the workforce had been improved by attention to such thi...

BACKGROUND Sickness absence (SA) is affected by societal factors. Increasing socioeconomic stress may cause or worsen mental health disorders, which are among the most frequent causes of SA. Employees may also be more cautious about being absent, for example in times of poor economy. AIMS To monitor the incidence of SA due to mental health disorders in the Netherlands from 2001 to 2010. MET...

Characterization of the scientific and technological infrastructure in health and its interactions with the industrial sector provides key elements for understanding the dynamics of innovation in health. This study conducts an exploratory analysis of the potentialities and limitations associated with scientific and technological capabilities in the health area in Brazil and the different links ...

Introduction: The World Health Organization estimates occupational health risks as the tenth leading cause of morbidity and mortality. The burden of disease from selected occupational risk factors amounts to 1.5% of the global burden in terms of Disability Adjusted Life Years (DALY). The World Health Report 2002, has reported that occupational risk factors account for a number of morbid conditi...

Abstract The estimation of Remaining Useful Life (RUL) of industrial equipments can be realized on their most critical components. Based on this assumption, the identified critical component must be monitored to track its health state during its operation. Then, the acquired data are processed to extract relevant features, which are used for RUL estimation. This paper presents an evaluation met...

After more than three decades of extremely rapid industrial growth, China faces an environmental public health crisis. In this article, I examine pollution in the rural industrial sector and its implications for community health. Drawing on recent ethnographic research in an industrial township in rural Sichuan, including interviews with government officials, environmental regulators, industria...

The term sustainable development has been misunderstood and misinterpreted, often parodied, and even derided. Today we face the consequences of our wilful dismissal. Climate change is upon us. Had we taken sustainable development more seriously, we might have done far more to create a healthy society and environment. But unbridled economic development, predicated on unfettered use of resources,...