Background: The recognition of medical entities from natural language is a ubiquitous
problem in the medical field, with applications ranging from medical coding to the analysis of …

Background: Coding of underlying causes of death from death certificates is a process that
is nowadays undertaken mostly by humans with potential assistance from expert systems, …

The study of cause-specific mortality data is one of the main sources of information for
public health monitoring. In most industrialized countries, when a death occurs, it is a legal …

Objective: Obtaining better knowledge on the outcomes of patients who attempt suicide is
crucial for suicide prevention. The aim of our study was to determine the causes of death 1 …

We consider a stochastic heat equation driven by a space-time white noise and with a singular
drift, where a local-time in space appears. The process we study has an explicit invariant …

Underlying cause of death coding from death certificates is a process that is nowadays
undertaken mostly by humans with a potential assistance from expert systems such as the Iris …

… H, K ⊂ H is a closed convex subset with regular boundary, N K (y) is the normal cone to …
continuous on K, therefore we obtain that for all x in the support of ν, which coincides with K. …

The recognition of medical entities from natural language is an ubiquitous problem in the
medical field, with applications ranging from medical act coding to the analysis of electronic …

Deep neural networks are a family of computational models that are naturally suited to the
analysis of hierarchical data such as, for instance, sequential data with the use of recurrent …

INTRODUCTION The ICD codes are ubiquitously available in hospital information systems
and have been used in a number of areas such as epidemiology, phenotype-genotype …