Objective This article methodically reviews the literature on deep learning (DL) for natural
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …

Machine learning (ML) has been slowly entering every aspect of our lives and its positive
impact has been astonishing. To accelerate embedding ML in more applications and …

The use of deep learning (DL) for the analysis and diagnosis of biomedical and health care
problems has received unprecedented attention in the last decade. The technique has …

Objective This article reviews recent literature on the use of SNOMED CT as an extension of
Lee et al's 2014 review on the same topic. The Lee et al's article covered literature published …

The assignment of codes to free-text clinical narratives have long been recognised to be
beneficial for secondary uses such as funding, insurance claim processing and research …

Abstract Background Natural Language Processing (NLP) applications have developed
over the past years in various fields including its application to clinical free text for named …

Background: Interoperability and secondary use of data is a challenge in health care.
Specifically, the reuse of clinical free text remains an unresolved problem. The Systematized …

Although digoxin is important in heart rate control, the utilization of digoxin is declining due
to its narrow therapeutic window. Misdiagnosis or delayed diagnosis of digoxin toxicity is …

1. In one experiment the effect on rumen pH of feeding with restricted amounts of whole or
pelleted barley was studied. With whole barley there was little variation in rumen pH …

Codification of free-text clinical narratives have long been recognised to be beneficial for
secondary uses such as funding, insurance claim processing and research. The current …