Skip Navigation
Skip to contents
Results by Year

View Wide

Filter

ARTICLE TYPE

more+
SELECT FILTER
 
Close

PUBLICATION DATE

27 results
Display

Application of Information Value Chain in Gout Management

Russell M, Kim S

Purpose This study introduces information value chain analysis by identifying essential information for use in gout care management. Part I reviews the essential concepts of information value chain analysis first introduced...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Development of an Information Value Chain for Systemic Lupus Erythematosus

Ko JW, Russell M, Lenert A, Kim S

Purpose: Information value is created by providing care for specific medical conditions. To assess the appropriate content and time of delivery, a research framework to examine information values at different...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
OryzaGP 2021 update: a rice gene and protein dataset for named-entity recognition

Larmande P, Liu Y, Yao X, Xia J

Due to the rapid evolution of high-throughput technologies, a tremendous amount of data is being produced in the biological domain, which poses a challenging task for information extraction and natural...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
O-JMeSH: creating a bilingual English-Japanese controlled vocabulary of MeSH UIDs through machine translation and mutual information

Soares F, Tateisi Y, Takatsuki T, Yamaguchi A

Previous approaches to create a controlled vocabulary for Japanese have resorted to existing bilingual dictionary and transformation rules to allow such mappings. However, given the possible new terms introduced due...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
An Implementation of Natural Language Processing and Text Mining in Stroke Research

Kim C

Natural language processing (NLP) is a computerized approach to analyzing text that explores how computers can be used to understand and manipulate natural language text or speech to do useful...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Concerns of Thalassemia Patients, Carriers, and their Caregivers in Malaysia: Text Mining Information Shared on Social Media

Phang YC, Kassim AM, Mangantig E

Objectives: The main aim of this study was to use text mining on social media to analyze information and gain insight into the health-related concerns of thalassemia patients, thalassemia carriers,...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study

Kim D, Oh J, Im H, Yoon M, Park J, Lee J

Background: Rapid triage reduces the patients' stay time at an emergency department (ED). The Korean Triage Acuity Scale (KTAS) is mandatorily applied at EDs in South Korea. For rapid triage, we...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Choosing preferable labels for the Japanese translation of the Human Phenotype Ontology

Ninomiya K, Takatsuki T, Kushida T, Yamamoto Y, Ogishima S

The Human Phenotype Ontology (HPO) is the de facto standard ontology to describe human phenotypes in detail, and it is actively used, particularly in the field of rare disease diagnoses....
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
An empirical evaluation of electronic annotation tools for Twitter data

Weissenbacher D, O'Connor K, Hiraki AT, Kim JD, Gonzalez-Hernandez G

Despite a growing number of natural language processing shared-tasks dedicated to the use of Twitter data, there is currently no ad-hoc annotation tool for the purpose. During the 6th edition...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
open-japanese-mesh: assigning MeSH UIDs to Japanese medical terms via open Japanese-English glossaries

Yamada R, Tatieisi Y

The Medical Subject Headings (MeSH) system is a controlled vocabulary for indexing biomedical documents that is used for document retrieval and other natural language processing purposes. However, although the original...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Using the PubAnnotation ecosystem to perform agile text mining on Genomics & Informatics: a tutorial review

Nam HJ, Yamada R, Park HS

The prototype version of the full-text corpus of Genomics & Informatics has recently been archived in a GitHub repository. The full-text publications of volumes 10 through 17 are also directly...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
A Study on the Application of Natural Language Processing in Health Care Big Data: Focusing on Word Embedding Methods

Kim H, Chung Y

While healthcare data sets include extensive information about patients, many researchers have limitations in analyzing them due to their intrinsic characteristics such as heterogeneity, longitudinal irregularity, and noise. In particular,...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Machine Learning-Based Prediction of Korean Triage and Acuity Scale Level in Emergency Department Patients

Choi SW, Ko T, Hong KJ, Kim KH

OBJECTIVES: Triage is a process to accurately assess and classify symptoms to identify and provide rapid treatment to patients. The Korean Triage and Acuity Scale (KTAS) is used as a...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Improving spaCy dependency annotation and PoS tagging web service using independent NER services

Colic N, Rinaldi F

Dependency parsing is often used as a component in many text analysis pipelines. However, performance, especially in specialized domains, suffers from the presence of complex terminology. Our hypothesis is that...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
OryzaGP: rice gene and protein dataset for named-entity recognition

Larmande P, Do H, Wang Y

Text mining has become an important research method in biology, with its original purpose to extract biological entities, such as genes, proteins and phenotypic traits, to extend knowledge from scientific...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts

Armengol-Estapé J, Soares F, Marimon M, Krallinger M

Automatically detecting mentions of pharmaceutical drugs and chemical substances is key for the subsequent extraction of relations of chemicals with other biomedical entities such as genes, proteins, diseases, adverse reactions...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Health Information Technology Trends in Social Media: Using Twitter Data

Lee J, Kim J, Hong YJ, Piao M, Byun A, Song H, Lee HS

OBJECTIVES: This study analyzed the health technology trends and sentiments of users using Twitter data in an attempt to examine the public's opinions and identify their needs. METHODS: Twitter data related...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Design and Construction of a NLP Based Knowledge Extraction Methodology in the Medical Domain Applied to Clinical Information

Cedeño Moreno D, Vargas-Lombardo M

OBJECTIVES: This research presents the design and development of a software architecture using natural language processing tools and the use of an ontology of knowledge as a knowledge base. METHODS: The...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Temporal Segmentation for Capturing Snapshots of Patient Histories in Korean Clinical Narrative

Lee W, Choi J

OBJECTIVES: Clinical discharge summaries provide valuable information about patients' clinical history, which is helpful for the realization of intelligent healthcare applications. The documents tend to take the form of separate...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Text Mining in Biomedical Domain with Emphasis on Document Clustering

Renganathan V

OBJECTIVES: With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close

Go to Top

Copyright © 2023 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr