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2009.10.30 Senator Jeong, Soo Kyung Lee, Hong-Gee Kim Biomedical Knowledge Engineering Lab.,

2009.10.30 Senator Jeong, Soo Kyung Lee, Hong-Gee Kim Biomedical Knowledge Engineering Lab., Seoul National University. Purpose. Analyze the knowledge structure of Korean medical informatics in quantitative way. Questions.

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2009.10.30 Senator Jeong, Soo Kyung Lee, Hong-Gee Kim Biomedical Knowledge Engineering Lab.,

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  1. 2009.10.30 Senator Jeong, Soo Kyung Lee, Hong-Gee Kim Biomedical Knowledge Engineering Lab., Seoul National University

  2. Purpose • Analyze the knowledge structure of • Korean medical informatics • in quantitative way.

  3. Questions • What are the important topics of Korean Medical Informatics? • What are the newly emerging research topics?

  4. Method

  5. Co-word Analysis Topic C article Topic A article These two topics are likely to be related Topic B article …… ……

  6. Co-word Analysis Workflow & Tool BiKE Text Analyzer

  7. Data Collection and Treatment

  8. Data Collection • Source • The Journal of Korean Society of Medical Informatics • KOSMI Symposiums • Time Coverage: 1995-2008 (14 years) • Data Corpus: 1,075 papers • 915 papers (excluded abstract-free papers)

  9. Data Treatment: Translate corrected the English terms

  10. Data Treatment: Variables

  11. Term Extraction and Normalization • Words’ plural form  singular form • synonyms controlled • Extracted 2-5 gram terms as variables • total number of n-gram terms=2,954 • The most frequently occurring term • “information system” (term frequency=533). • Occurrence Threshold: less than 5 times • Term variables for analysis: 748

  12. Term Variable Selection

  13. Extract Terms, Term Frequency

  14. Term Weight, Co-occurance Term Weight

  15. Term Similarity, Matrix File Cosine Coefficient (0-1)

  16. Network Analyze and Visualization Pajek

  17. Results

  18. Top 100 research Topics(Tf≥5; N=100; Cosine>0.15; k-component.≥1; component=7)

  19. Top 50 research Topics(Tf≥5; N=100; Cosine>0.15)

  20. Important Topics

  21. Top 50 research Topics of Korean Medical Informatics(Tf≥5; N=50; N=50; Cosine>0.15; k-component.≥1; component=9)

  22. Senator Jeong, Hong-Gee Kim. “Intellectual Structure of Biomedical Informatics reflected in Scholarly Events“. Scientometrics. 2009. [in Press] Top 100 global research topics in MI(tf≥10) PACS CBIR CPOE CDS *Info. System PDA CPG NLP Mach. Learning EMR SVM PHR EHR

  23. Interesting Phenomena

  24. Top 50 research Topics of Korean Medical Informatics(Tf≥5; N=50; N=50; Cosine>0.15; k-component.≥1; component=9)

  25. Research Topic Trends

  26. Newly rising topics • Identified the topics • which represented the lowest 10% in the low frequency group in the preceding period(s), and • which also remained in the highest 10% (5% in the years 207-2008) in the high frequency group in the following periods. 10

  27. 1998~2000

  28. 2001~2003, 2004~2006

  29. 2007-2008

  30. Conclusion • The findings can be of help to decide • which technologies and themes should be included in medical informatics curriculum • to meet learners’ needs.

  31. Q & A Thank you

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