Abstract Background: Natural Language Processing (NLP) is widely used to extract clinical
insights from Electronic Health Records (EHRs). However, the lack of annotated data …

Electronic health records (EHRs), digital collections of patient healthcare events and
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …

Creating a large-scale knowledge graph of electric power equipment faults will facilitate the
development of automatic fault diagnosis and intelligent question answering (QA) in the …

Over the last decade, the healthcare sector has accelerated its digitization and electronic
health records (EHRs). As information technology progresses, the notion of intelligent health …

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 …

Electronic health record systems are ubiquitous and the majority of patients' data are now
being collected electronically in the form of free text. Deep learning has significantly …

As a key component in the machinery, the health of bearings directly affects working
performance of machinery. Recently, many data-driven methods have been proposed to …

Objectives: We survey recent developments in medical Information Extraction (IE) as
reported in the literature from the past three years. Our focus is on the fundamental …

Large language models (LLMs) can generate natural language texts for various domains
and tasks, but their potential for clinical text mining, a domain with scarce, sensitive, and …

As one of the key techniques in prognostic health management (PHM), remaining useful life
(RUL) prediction of machine relies on sufficient prior observed degradation data. Most …