Evidence map›Paper›PMID 28664044›Full record

ArticleIntegrative medicine research2012

Analysis of Sasang constitutional types using facial features with compensation for photographic distance.

Jun-Hyeong Do, Boncho Ku, Jun-Su Jang, Honggie Kim, Jong Yeol Kim

Abstract read
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Article in Integrative medicine research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Metabolite Markers for Characterizing Sasang Constitution Type through GC-MS andEvidence-based complementary and alternative medicine : eCAM · 2019
    Article
  4. Article
  5. Article
  6. Predicting visceral obesity based on facial characteristics.BMC complementary and alternative medicine · 2014
    Article
  7. Article
  8. Article
  9. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jun-Hyeong DoConstitutional Medicine and Diagnosis Research Group, Medical Research Division, Korea Institute of Oriental Medicine, Daejeon, Korea.
Boncho KuConstitutional Medicine and Diagnosis Research Group, Medical Research Division, Korea Institute of Oriental Medicine, Daejeon, Korea.
Jun-Su JangConstitutional Medicine and Diagnosis Research Group, Medical Research Division, Korea Institute of Oriental Medicine, Daejeon, Korea.
Honggie KimDepartment of Information and Statistics, Chungnam National University, Daejeon, Korea.
Jong Yeol KimConstitutional Medicine and Diagnosis Research Group, Medical Research Division, Korea Institute of Oriental Medicine, Daejeon, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFacial features are regarded as representative and reliable characteristics for diagnosing a person's Sasang Constitution (SC). However, the description of these features tends to depend on the interpretation and the opinion of the doctor that follows the SC approach. In this paper, we performed a facial feature analysis of SC types in an objective and quantitative manner. Here, site-to-site variability can be an obstacle to properly analyzing facial features when images are taken from various sites, which may have different experimental environments. A compensation technique to reduce the site-to-site variability was proposed before performing the feature analysis.

methodsThe frontal and profile images of 1464 patients recruited from various oriental medical clinics (19 sites) were used. Candidate feature variables were created, which were inspired by the facial characteristics of the SC types described in the Sasang constitutional medicine literature. To resolve the problems involved in processing data collected from various sites with heterogeneous experimental environments, a compensation technique was proposed. Statistical analysis techniques were employed to observe the differences among the SC types and to demonstrate how effectively the site-to-site variability was reduced.

resultsThe facial features that were significant for diagnosing the SC types were identified by a statistical analysis, and it was verified that the compensation technique reduced the site-to-site variability produced by the differences in photographic distance.

conclusionIt is noted that the significant facial features represent common characteristics of each SC type in the sense that we collected extensive opinions from many Sasang constitutional medicine doctors with various points of view. Additionally, a compensation method for the photographic distance is needed to find the significant facial features. We expect these findings and the related compensation technique to contribute to establishing a scientific basis for the precise diagnosis of SC types in clinical practice.

Indexed as

facefacial featuresoriental medicinequantitative standardSasang constitutiontraditional Korean medicine

Identifiers

PMID28664044
PMCPMC5481682

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.