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Development of WHO impairment grading system for Managing Leprosy Patients

Park CB, Kim HS, Cho H

  • KMID: 2211311
  • J Korean Soc Med Inform.
  • 2008 Jun;14(2):201-209.
OBJECTIVES: We have developed a computerized WHO impairment grading for the clinical management of leprosy patients. The primary aim of this research is to redefine from the legacy disability grading...
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Development and Adoption of a LOINC Mapping Algorithm

Kim SY, Kim HH, Lee EY, Chang CL, Kim HS, Cho H

  • KMID: 2211301
  • J Korean Soc Med Inform.
  • 2008 Jun;14(2):123-135.
OBJECTIVES: LOINC(R)(Logical Observations Identifiers, Names, Codes) is being used as the global standard for sharing laboratory test information and standardization. However, difficulties have been encountered in transferring local code to...
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Functional characteristics of dental PACS influencing on user satisfaction, ease of use, and usefulness

Shin E, Chang H

  • KMID: 2211300
  • J Korean Soc Med Inform.
  • 2008 Jun;14(2):111-122.
OBJECTIVES: This study evaluated the functional characteristics of hardware and software in Picture Archiving and Communication System (PACS) in dental hospitals and examined the impact of the functional characteristics on...
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Modelling and comparing hospitals' information systems in Japan and Germany

Winter A, Jahn F, IBler L, Takabayashi K

  • KMID: 2211297
  • J Korean Soc Med Inform.
  • 2008 Jun;14(2):87-96.
Medicine and health care are developing to be and yet are driving economical factors worldwide and information and communication technology is one of their most important resources. Thus, there is...
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Heart Sound Classification Using Variable Number of States in Hidden Markov Model Considering Characteristics of the Signal

Chung YJ

  • KMID: 2211309
  • J Korean Soc Med Inform.
  • 2008 Jun;14(2):179-187.
Hidden Markov model (HMM) is known to be one of the most powerful methods in the acoustic modeling of heart sound signals. Conventionally, we usually use a fixed number of...
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Design of an Integration System for Bioinformatics Data Sources Using a Global MDR

Ra M

  • KMID: 2211310
  • J Korean Soc Med Inform.
  • 2008 Jun;14(2):189-199.
OBJECTIVES: Nowadays, as the amounts of biological data are rapidly increasing, bioinformatics has become one of the important research issues. The bioinformatics data sources are, however, distributed and heterogeneous, and...
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Availability of nursing data in an electronic nursing record system for a development of a risk assessment tool for pressure ulcers

Cho IS, Yoon HY, Park SI, Lee HS

  • KMID: 2211305
  • J Korean Soc Med Inform.
  • 2008 Jun;14(2):161-168.
OBJECTIVES: This study explored the reuse of data captured by nurses to support nursing decisions related to pressure-ulcer care. METHODS: To examine the existence of coded data in an electronic nursing...
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The Effect of Web based Information Providing Program on Knowledge Improvement for Patients undergoing Lumbar Discectomy

Lee E, Kim JE

  • KMID: 2211298
  • J Korean Soc Med Inform.
  • 2008 Jun;14(2):97-109.
OBJECTIVES: The purposes of this study were to 1) develope web-based information program for the patients undergoing lumbar discectomy, and 2) test the effectiveness of web-based information program for improving...
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Development of a revisit prediction model for the outpatient in a hospital

Hwang SW, Lee HJ

  • KMID: 2211303
  • J Korean Soc Med Inform.
  • 2008 Jun;14(2):137-145.
OBJECTIVES: This study is for developing the prediction model of outpatient's revisit in target hospital. Using this model, hospital managers can make efficient customer relationship. METHODS: This is based on the...
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Analysis of Nursing Activity in General Hospital Using Hospital Information System

Kim DY, Park M

  • KMID: 2211306
  • J Korean Soc Med Inform.
  • 2008 Jun;14(2):169-177.
OBJECTIVES: This study intended to identify the staff nurse's activity in general hospital, where its Hospital Information System is well established and Electronic Nursing Record System was being used for...
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Population Pharmacokinetic and Pharmacodynamic Models of Propofol in Healthy Volunteers using NONMEM and Machine Learning Methods

Kim YM, Kang SH, Park IS, Noh GJ

  • KMID: 2211304
  • J Korean Soc Med Inform.
  • 2008 Jun;14(2):147-159.
OBJECTIVES: The primary objective of this study is to compare model performance of machine learning methods with that of a previous study in which a nonlinear mixed effects model was...
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