The significance of integrating Natural Language Processing (NLP) approaches in
healthcare research has become more prominent in recent years, and it has had a …

Healthcare professionals are generating a substantial volume of clinical data in narrative
form. As healthcare providers are confronted with serious time constraints, they frequently …

Producing systematic reviews is a demanding and time consuming task in terms of
collecting, filtering, evaluating and synthesising large volumes of literature which requires …

Prior knowledge of the distributional characteristics of linguistic phenomena can be useful
for a variety of language processing tasks. This paper describes the distribution of negation …

Background Knowledge representation frameworks are essential to the understanding of
complex biomedical processes, and to the analysis of biomedical texts that describe them …

Clinical research studies often leverage various heterogeneous data sources including
patient electronic health record, online survey, and genomic data. We introduce a graph …

Background Because of their accuracy, positron emission tomography/computed
tomography (PET/CT) examinations are ideally suited for the identification of secondary …

Basic Building Blocks for Clinical Text Processing Page 1 Chapter 7 Basic Building Blocks for
Clinical Text Processing This chapter will describe the basics for text processing and give an …

This systematic literature review examines the advancements and challenges of natural
language processing applications in clinical healthcare. Authors provide an overview of NLP …

近年来, 使用人工智能(artificial intelligence, AI) 技术对临床大数据及图像进行分析,
对疾病做出智能诊断, 预测并提出诊疗决策, AI 正逐步成为辅助临床及科研的先进技术 …