- Application of Information Value Chain in Gout Management
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Russell M, Kim S
- KMID: 2532775
- Korean J Adult Nurs.
- 2022 Aug;34(4):351-359.
- doi: 10.7475/kjan.2022.34.4.351
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... -
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- Development of an Information Value Chain for Systemic Lupus Erythematosus
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Ko JW, Russell M, Lenert A, Kim S
- KMID: 2531796
- Korean J Adult Nurs.
- 2022 Jun;34(3):324-337.
- doi: 10.7475/kjan.2022.34.3.324
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... -
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- OryzaGP 2021 update: a rice gene and protein dataset for named-entity recognition
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Larmande P, Liu Y, Yao X, Xia J
- KMID: 2521528
- Genomics Inform.
- 2021 Sep;19(3):e27.
- doi: 10.5808/gi.21015
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... -
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- O-JMeSH: creating a bilingual English-Japanese controlled vocabulary of MeSH UIDs through machine translation and mutual information
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Soares F, Tateisi Y, Takatsuki T, Yamaguchi A
- KMID: 2521527
- Genomics Inform.
- 2021 Sep;19(3):e26.
- doi: 10.5808/gi.21014
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... -
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- An Implementation of Natural Language Processing and Text Mining in Stroke Research
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Kim C
- KMID: 2518928
- J Korean Neurol Assoc.
- 2021 Aug;39(3):121-128.
- doi: 10.17340/jkna.2021.3.2
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... -
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- Concerns of Thalassemia Patients, Carriers, and their Caregivers in Malaysia: Text Mining Information Shared on Social Media
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Phang YC, Kassim AM, Mangantig E
- KMID: 2519036
- Healthc Inform Res.
- 2021 Jul;27(3):200-213.
- doi: 10.4258/hir.2021.27.3.200
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,... -
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- Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study
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Kim D, Oh J, Im H, Yoon M, Park J, Lee J
- KMID: 2518350
- J Korean Med Sci.
- 2021 Jul;36(27):e175.
- doi: 10.3346/jkms.2021.36.e175
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... -
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- Choosing preferable labels for the Japanese translation of the Human Phenotype Ontology
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Ninomiya K, Takatsuki T, Kushida T, Yamamoto Y, Ogishima S
- KMID: 2503648
- Genomics Inform.
- 2020 Jun;18(2):e23.
- doi: 10.5808/GI.2020.18.2.e23
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.... -
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- An empirical evaluation of electronic annotation tools for Twitter data
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Weissenbacher D, O'Connor K, Hiraki AT, Kim JD, Gonzalez-Hernandez G
- KMID: 2503649
- Genomics Inform.
- 2020 Jun;18(2):e24.
- doi: 10.5808/GI.2020.18.2.e24
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... -
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- open-japanese-mesh: assigning MeSH UIDs to Japanese medical terms via open Japanese-English glossaries
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Yamada R, Tatieisi Y
- KMID: 2503647
- Genomics Inform.
- 2020 Jun;18(2):e22.
- doi: 10.5808/GI.2020.18.2.e22
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... -
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- Using the PubAnnotation ecosystem to perform agile text mining on Genomics & Informatics: a tutorial review
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Nam HJ, Yamada R, Park HS
- KMID: 2503638
- Genomics Inform.
- 2020 Jun;18(2):e13.
- doi: 10.5808/GI.2020.18.2.e13
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... -
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- A Study on the Application of Natural Language Processing in Health Care Big Data: Focusing on Word Embedding Methods
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Kim H, Chung Y
- KMID: 2507255
- Health Policy Manag.
- 2020 Mar;30(1):15-25.
- doi: 10.4332/KJHPA.2020.30.1.15
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,... -
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- Machine Learning-Based Prediction of Korean Triage and Acuity Scale Level in Emergency Department Patients
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Choi SW, Ko T, Hong KJ, Kim KH
- KMID: 2462229
- Healthc Inform Res.
- 2019 Oct;25(4):305-312.
- doi: 10.4258/hir.2019.25.4.305
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... -
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- Improving spaCy dependency annotation and PoS tagging web service using independent NER services
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Colic N, Rinaldi F
- KMID: 2462031
- Genomics Inform.
- 2019 Jun;17(2):e21.
- doi: 10.5808/GI.2019.17.2.e21
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... -
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- OryzaGP: rice gene and protein dataset for named-entity recognition
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Larmande P, Do H, Wang Y
- KMID: 2462027
- Genomics Inform.
- 2019 Jun;17(2):e17.
- doi: 10.5808/GI.2019.17.2.e17
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... -
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- PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts
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Armengol-Estapé J, Soares F, Marimon M, Krallinger M
- KMID: 2462025
- Genomics Inform.
- 2019 Jun;17(2):e15.
- doi: 10.5808/GI.2019.17.2.e15
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... -
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- Health Information Technology Trends in Social Media: Using Twitter Data
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Lee J, Kim J, Hong YJ, Piao M, Byun A, Song H, Lee HS
- KMID: 2445006
- Healthc Inform Res.
- 2019 Apr;25(2):99-105.
- doi: 10.4258/hir.2019.25.2.99
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... -
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- Design and Construction of a NLP Based Knowledge Extraction Methodology in the Medical Domain Applied to Clinical Information
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Cedeño Moreno D, Vargas-Lombardo M
- KMID: 2434553
- Healthc Inform Res.
- 2018 Oct;24(4):376-380.
- doi: 10.4258/hir.2018.24.4.376
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... -
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- Temporal Segmentation for Capturing Snapshots of Patient Histories in Korean Clinical Narrative
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Lee W, Choi J
- KMID: 2418168
- Healthc Inform Res.
- 2018 Jul;24(3):179-186.
- doi: 10.4258/hir.2018.24.3.179
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... -
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- Text Mining in Biomedical Domain with Emphasis on Document Clustering
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Renganathan V
- KMID: 2403303
- Healthc Inform Res.
- 2017 Jul;23(3):141-146.
- doi: 10.4258/hir.2017.23.3.141
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... -
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