Article

A query interface for clinical research with Chinese electronic health record using Natural Language Processing

2022-06-07

Abstract excerpt

<h4>Background: </h4> The recruitment of clinical trials is a challenging task. Traditionally, the time-consuming task is accomplished manually or assisted by form-based tools. Electronic health record (EHR) contains comprehensive information which can speed up the process. The development of natural language processing (NLP) makes it possible to reduce manual effort. To our knowledge, there are almost no query in...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c64da9d7-c237-5360-9622-c5a46144b999
DOI: 10.21203/rs.3.rs-1664677/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A query interface for clinical research with Chinese electronic health record using Natural Language ProcessingDOI 10.21203/rs.3.rs-1664677/v1Read

A post-processing algorithm for building longitudinal medication dose data from extracted medication information using natural language processing from electronic health recordsSemantic proximity Read

Utilizing Large Language Models for Enhanced Clinical Trial Matching: A Study on Automation in Patient ScreeningSemantic proximity Read

A New Modeling Method Base on Candidate Window for Clinical Concept ExtractionSemantic proximity Read

Building Large-Scale Registries from Unstructured Clinical Notes using a Low-Resource Natural Language Processing PipelineSemantic proximity Read

Design and implementation of a natural language processing system at the point of care: MiADE (Medical information AI Data Extractor)Semantic proximity Read

NATURAL LANGUAGE PROCESSING: HEALTHCARE ACHIEVING BENEFITS VIA NLPSemantic proximity Read

Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language ProcessingSemantic proximity Read

StrokeID-NER : A Stroke Named Entity Recognition Dataset for Indonesian Patient- Generated Health QueriesSemantic proximity Read

Natural Language Processing in Electronic Health Records (EHR): Automating Clinical Summarization and Patient Risk StratificationSemantic proximity Read

Detecting adverse events in clinical care using natural language processingSemantic proximity Read

Europe PMC Annotated Full-text Corpus for Gene/Proteins, Diseases and OrganismsSemantic proximity Read

Named Entity Recognition Based on Contrastive Learning and Enhanced Lexicon for Pig Diseases of Chinese CorpusSemantic proximity Read