• 제목/요약/키워드: English medical journal

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A Preliminary Study on Clinical Decision Support System based on Classification Learning of Electronic Medical Records

  • Shin, Yang-Kyu
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.4
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    • pp.817-824
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    • 2003
  • We employed a hierarchical document classification method to classify a massive collection of electronic medical records(EMR) written in both Korean and English. Our experimental system has been learned from 5,000 records of EMR text data and predicted a newly given set of EMR text data over 68% correctly. We expect the accuracy rate can be improved greatly provided a dictionary of medical terms or a suitable medical thesaurus. The classification system might play a key role in some clinical decision support systems and various interpretation systems for clinical data.

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A Study on the Organizing Web Materials in the Field of Medicine (의학 분야 웹 자료의 분류에 대한 개선 방안 연구)

  • 정경희
    • Journal of the Korean Society for information Management
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    • v.21 no.2
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    • pp.89-106
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    • 2004
  • There are lots of Web materials in the field of medicine and many search engines classify the medical materials on the Web through directories. But the organization of these directories are wanting in consistency and systematization. In order for manager of search engines to organize medical materials on the Web systematically, this paper suggests several guidelines. NLMC, a special classification system for medicine, need to be applied to develop directories of medicine in search engines. Also, items of the directories should be arranged based on the relevance of subjects among subfields of medical science. For classifying an item to several directories repeatedly, clear criteria should be established. In addition to, controlled vocabularies or glossaries for medicine such as MeSH and the English-Korean, Korean-English Medical Terminology Collection should be used for selection of the name of items in medical directories.

Newborn English Bulldogs with Multiple Malformation Syndrome and Lethal Characters

  • Jang, Si-Jung;Kim, Minkyung;Lee, Hyeon-Jeong;You, Young-Sung;Lee, Jaehoon;Lee, Sung-Lim
    • Journal of Animal Reproduction and Biotechnology
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    • v.34 no.3
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    • pp.253-258
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    • 2019
  • A female English bulldog was gave birth two neonates by cesarean section on the sixty one days after mating, but both neonates were died soon after birth. The bodies of neonates were diagnosed using radiography, ultrasonography, computed tomography and necropsy immediately after death. Both neonates had caudal regression syndrome, butterfly vertebra, hydrocephalus, umbilical hernia, cleft palate and bow-legged hind-limb. At necropsy, neonates had mild fetal anasarca, cleft lip and the skull was remained non-union. At thoracic cavity, only three ribs and thoracic spines were existed and patent ductus arteriosus was found. At abnormal cavity, the renal ectopia was found with abnormal morphology. In the present case, those English bulldog neonates with multiple congenital malformation syndromes seriously suffered vertebral column anomalies and that may induced by neural tube defects in during embryonic period. To prevent congenital malformation occurring in English bulldog, further in depth studies are needed for the breed specific genetic diversity and for the reason of behind genetic abnormality in these breed.

Frequently used Conversations in Laryngology - English and Chinese Translation - (후두과학에서 자주 사용되는 대화 - 영어번역 및 중국어번역 -)

  • Yoo, Young-Sam
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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    • v.16 no.2
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    • pp.123-128
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    • 2005
  • The market is opening to the whole world and there is no exception to medical service. Therefore, doctors should prepare themselves to cope with the opening market. I prepared scripts for the conversations between doctors and patient at the clinical situations. Also, English and Chinese translations are provided for future use.

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A Study on Error Analysis & Hedging Expressions of Medical Research Abstracts

  • Lee, Eun-Pyo
    • English Language & Literature Teaching
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    • v.13 no.1
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    • pp.47-66
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    • 2007
  • Error analysis plays an important role because understanding the types of errors can give a better opportunity for both teachers and learners to recognize the nature of errors and ways of preventing them. This study looks into errors in the medical research abstracts written by 26 Koreans and also examines hedging expressions since hedging can be a necessary tactic in which the validity and objectivity of their claims is conveyed. The hedging expressions of these research abstracts are to be compared with those of Hyland (1996)'s study done on ENL academic writers of cell and molecular biology. The results of the study reveal that wrong word choice was the most commonly occurred errors, followed by prepositions, articles, adding and missing words. Many of these errors, except articles, seemed to derive from the native language interference. There were also run-on sentences, subject & verb agreement, tense, word order and minor errors. As for hedging, ESL medical writers seemed to use very limited hedging expressions and inappropriately strong modals. It is recommended to take variations of hedges using epistemic adverbials and adjectives to present their claims in a more valid and polite way. Limited verb choice was also noted. As for preventing or minimizing similar future errors, collocation practices in ESP focused on commonly used medical related words and expressions can be effective.

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A Scientometric Study SCI Impact Factors of Major Korean Medical Jernals: 1991-1999 (한국 의학학술지의 SCI영향력지표 계량측정 연구 : 1991년-1999년)

  • 이춘실
    • Journal of the Korean Society for information Management
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    • v.18 no.1
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    • pp.85-104
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    • 2001
  • The purpose of the study is to investigate the international standings of Korean medical journals and to provide a concrete journal evaluation data. The SciSearch database was searched for the 7,779 papers published in 8 Korean medical journals between 1989 and 1998. The frequency of citation to each journal was measured for each year, and the journal impact factor was calculated from 1991 to 1999 exactly as it is calculated in the Jour~~lnl Citation Reports (JCR). The Korean-language journals were rarely cited in SCI, even though the journals were of the medical areas where Korean researchers published a great deal of SCI papers. The number of citations to English-language journals started to grow from 1994 and increased rapidly from 1997. The citation interval is getting shorter, resulting in the drastic increases in the impact factors in the recent years. The nine-year averages of impact factors of the journals were distributed between 0.002 and 0.126. The international standings of Korean medical journals are very poor. When the impact factors were compared to those of SCI journals in the same subject category, Korean-language journals fell below the last SCI journals ranked by the impact factor, and the English-language journals were at the bottom among the SCI journals. The impact factors of 3 English-language Korean medical journals were about 2.0 when they became SCI journals in the late 1990s.

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Is ChatGPT a "Fire of Prometheus" for Non-Native English-Speaking Researchers in Academic Writing?

  • Sung Il Hwang;Joon Seo Lim;Ro Woon Lee;Yusuke Matsui;Toshihiro Iguchi;Takao Hiraki;Hyungwoo Ahn
    • Korean Journal of Radiology
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    • v.24 no.10
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    • pp.952-959
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    • 2023
  • Large language models (LLMs) such as ChatGPT have garnered considerable interest for their potential to aid non-native English-speaking researchers. These models can function as personal, round-the-clock English tutors, akin to how Prometheus in Greek mythology bestowed fire upon humans for their advancement. LLMs can be particularly helpful for non-native researchers in writing the Introduction and Discussion sections of manuscripts, where they often encounter challenges. However, using LLMs to generate text for research manuscripts entails concerns such as hallucination, plagiarism, and privacy issues; to mitigate these risks, authors should verify the accuracy of generated content, employ text similarity detectors, and avoid inputting sensitive information into their prompts. Consequently, it may be more prudent to utilize LLMs for editing and refining text rather than generating large portions of text. Journal policies concerning the use of LLMs vary, but transparency in disclosing artificial intelligence tool usage is emphasized. This paper aims to summarize how LLMs can lower the barrier to academic writing in English, enabling researchers to concentrate on domain-specific research, provided they are used responsibly and cautiously.

Review and proposed improvements for Romanization and English expressions of rubrics in the WHO ICD-11 beta version traditional medicine chapter (세계보건기구 국제질병분류 11판 베타버전 중 한의학 고유 상병의 로마자 표기 및 영문표현 검토연구)

  • Kim, Jin Youp;Yin, Chang Shik;Jo, Hee Jin;Kim, Kyu Ri;Kang, Da Hyun;Lee, Jong Ran;Kim, Yong Suk
    • Journal of Acupuncture Research
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    • v.32 no.4
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    • pp.47-68
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    • 2015
  • Objectives : The purpose of this study is to review and propose improvements for the Romanization and English expressions in the WHO international classification of diseases 11th revision beta version (ICD-11b) traditional medicine chapter. Methods : ICD-11b as of October 5, 2015, was reviewed. Romanization and English expressions were analyzed with reference to existing standards such as the Basic Principles of Romanization stipulated by the National Institute of Korean Language, and the Korean Standard Classification of Diseases (KCD), suggested improvements followed. Results : Following the Basic Principles of Romanization, 131 ICD-11b rubrics need improvement in the Romanization of Korean. When compared to KCD-6 comparable rubrics, 161 ICD-11b rubrics are the same and 64 are different. When compared to KCD-7 comparable rubrics, 118 ICD-11b rubrics are the same, and 51 are different. In KCD-6, there are 127 rubrics that do not match with items in ICD-11b. In KCD-7, there are 123 rubrics that do not match with items in ICD-11b. Conclusions : ICD-11b may be improved by correcting the Romanization and consideration of English expressions suggested in this study.