Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
An overview of biomedical entity linking throughout the years
Abstract Biomedical Entity Linking (BEL) is the task of map** of spans of text within
biomedical documents to normalized, unique identifiers within an ontology. This is an …
biomedical documents to normalized, unique identifiers within an ontology. This is an …
Augmented non-hallucinating large language models as medical information curators
Reliably processing and interlinking medical information has been recognized as a critical
foundation to the digital transformation of medical workflows, and despite the development …
foundation to the digital transformation of medical workflows, and despite the development …
[PDF][PDF] CLinkaRT at EVALITA 2023: Overview of the Task on Linking a Lab Result to its Test Event in the Clinical Domain.
CLinkaRT at EVALITA 2023 is a relation extraction task based on clinical cases taken from
the E3C corpus, ie Italian written documents reporting statements of a clinical practice. The …
the E3C corpus, ie Italian written documents reporting statements of a clinical practice. The …
[HTML][HTML] Early prediction of cardiac arrest in the intensive care unit using explainable machine learning: retrospective study
Background Cardiac arrest (CA) is one of the leading causes of death among patients in the
intensive care unit (ICU). Although many CA prediction models with high sensitivity have …
intensive care unit (ICU). Although many CA prediction models with high sensitivity have …
[HTML][HTML] A simple neural vector space model for medical concept normalization using concept embeddings
Objective Medical concept normalization (MCN), the task of linking textual mentions to
concepts in an ontology, provides a solution to unify different ways of referring to the same …
concepts in an ontology, provides a solution to unify different ways of referring to the same …
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets
Objectives Biomedical natural language processing tools are increasingly being applied for
broad-coverage information extraction—extracting medical information of all types in a …
broad-coverage information extraction—extracting medical information of all types in a …
Cross-domain data integration for named entity disambiguation in biomedical text
M Varma, L Orr, S Wu, M Leszczynski, X Ling… - ar** textual mentions to structured
entities, is particularly challenging in the medical domain due to the presence of rare …
entities, is particularly challenging in the medical domain due to the presence of rare …
Chemical identification and indexing in PubMed full-text articles using deep learning and heuristics
The identification of chemicals in articles has attracted a large interest in the biomedical
scientific community, given its importance in drug development research. Most of previous …
scientific community, given its importance in drug development research. Most of previous …
Automated coding of under-studied medical concept domains: linking physical activity reports to the International Classification of Functioning, Disability, and Health
Linking clinical narratives to standardized vocabularies and coding systems is a key
component of unlocking the information in medical text for analysis. However, many …
component of unlocking the information in medical text for analysis. However, many …
Overview of TESTLINK at IberLEF 2023: Linking results to clinical laboratory tests and measurements
The TESTLINK task conducted at IberLEF2023 focuses on relation extraction from clinical
cases in Spanish and Basque. The task consists in identifying clinical results and measures …
cases in Spanish and Basque. The task consists in identifying clinical results and measures …