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The study aims to develop and assess metric proprieties of the Portuguese version of the Hospital Anxiety and Depression Scale. A sequential sample includes 1322 participants diagnosed with cancer, stroke, epilepsy, coronary heart disease, diabetes, myotonic dystrophy, obstructive sleep apnoea, depression and a non-disease group, which completed the HADS.(More)
The problem of dynamic space allocation (DSAP) was recently formalized in the literature. It was inspired by the need of optimizing the distances traveled by the resources associated to the activities of a project. Owing to its highly combinatorial nature it is difficult to solve exactly and even a feasible solution is not straightforward. In this work we(More)
Studies on the impact of work-family dynamics on both parenting and children's outcomes are scarce. The present study addressed this gap by exploring how parents' negative (conflicting) and positive (enriching) experiencing of work and family roles related to children's internalizing and externalizing problem behaviors through its association with the(More)
OBJECTIVE This paper describes NICeSim, an open-source simulator that uses machine learning (ML) techniques to aid health professionals to better understand the treatment and prognosis of premature newborns. METHODS The application was developed and tested using data collected in a Brazilian hospital. The available data were used to feed an ML pipeline(More)
PURPOSE This study aims to: (1) link measurements used in the diagnosis of children with autism spectrum disorders (ASDs) with the International Classification of Functioning, Disability and Health - Children and Youth Version (ICF-CY) and (2) analyse issues relating with interrater agreement within this process. METHOD Three instruments for ASD diagnosis(More)
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