1.Handbook of Evaluation Methods for Health Informatics.
Healthcare Informatics Research 2011;17(4):276-277
No abstract available.
Informatics
2.The Issues and Trends of Consumer Health Informatics Research.
Jeongeun KIM ; Sunyoung LEE ; Mihua PARK
Journal of Korean Society of Medical Informatics 2007;13(4):311-320
The Consumer Health Informatics has been developing very fast recently as the new trends of consumerism emerged. This article reviewed the numerical expansion of the CHI researches since 1989 based on the search results of the PubMed database, and classified the main issues of CHI researches and categorized them into 10 issues. The trends of the CHI researches were analyzed by the categories and the timeline.
Informatics*
3.The Distributed Research Network, Observational Health Data Sciences and Informatics, and the South Korean Research Network
Korean Journal of Medicine 2019;94(4):309-314
No abstract available.
Informatics
5.Book Review: From Patient Data to Medical Knowledge: The Principles and Practice of Health Informatics.
Journal of Korean Society of Medical Informatics 2009;15(3):359-360
No abstract available.
Humans
;
Informatics*
6.Certification for Physicians in Biomedical Informatics.
Healthcare Informatics Research 2013;19(1):1-2
No abstract available.
Certification
;
Informatics
7.Recent Movement on Education and Training in Health Informatics.
Healthcare Informatics Research 2014;20(2):79-80
No abstract available.
Education*
;
Informatics*
8.Health Avatar: An Informatics Platform for Personal and Private Big Data.
Healthcare Informatics Research 2014;20(1):1-2
No abstract available.
Humans
;
Informatics*
9.Introduction to the International Medical Informatics Association.
Healthcare Informatics Research 2013;19(3):151-153
No abstract available.
Medical Informatics
10.Knowledge Structure of Korean Medical Informatics: A Social Network Analysis of Articles in Journal and Proceedings.
Senator JEONG ; Soo Kyoung LEE ; Hong Gee KIM
Healthcare Informatics Research 2010;16(1):52-59
OBJECTIVES: This study aimed at exploring the knowledge structure of Korean medical informatics. METHODS: We utilized the keywords, as the main variables, of the research papers that were presented in the journal and symposia of the Korean Society of Medical Informatics, and we used, as cases, the English titles and abstracts of the papers (n = 915) published from 1995 through 2008. N-grams (bigram to 5-gram) were extracted from the corpora using the BiKE Text Analyzer, and their cooccurrence networks were generated via a cosine correlation coefficient, and then the networks were analyzed and visualized using Pajek. RESULTS: With the hub and authority measures, the most important research topics in Korean medical informatics were identified. Newly emerging topics by three-year period units were observed as research trends. CONCLUSIONS: This study provides a systematic overview on the knowledge structure of Korean medical informatics.
Medical Informatics