Evidence map›Paper›PMID 25961013›Full record

ArticleBioMed research international2015

Relationship between Hyperuricemia and Haar-Like Features on Tongue Images.

Yan Cui, Shizhong Liao, Hongwu Wang, Hongyu Liu, Wenhua Wang, Liqun Yin

Abstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image.Computational and mathematical methods in medicine · 2015
    Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yan CuiSchool of Computer Science and Technology, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, China ; Department of Common Required Courses, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.
Shizhong LiaoSchool of Computer Science and Technology, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, China.
Hongwu WangCollege of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.ORCID 0000-0003-0449-715X
Hongyu LiuWuqing Chinese Medicine Hospital, 10 Jichang Road, Wuqing District, Tianjin 301700, China.
Wenhua WangWuqing Chinese Medicine Hospital, 10 Jichang Road, Wuqing District, Tianjin 301700, China.
Liqun YinDepartment of Common Required Courses, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate differences in tongue images of subjects with and without hyperuricemia. MATERIALS AND

methodsThis population-based case-control study was performed in 2012-2013. We collected data from 46 case subjects with hyperuricemia and 46 control subjects, including results of biochemical examinations and tongue images. Symmetrical Haar-like features based on integral images were extracted from tongue images. T-tests were performed to determine the ability of extracted features to distinguish between the case and control groups. We first selected features using the common criterion P < 0.05, then conducted further examination of feature characteristics and feature selection using means and standard deviations of distributions in the case and control groups.

resultsA total of 115,683 features were selected using the criterion P < 0.05. The maximum area under the receiver operating characteristic curve (AUC) of these features was 0.877. The sensitivity of the feature with the maximum AUC value was 0.800 and specificity was 0.826 when the Youden index was maximized. Features that performed well were concentrated in the tongue root region.

conclusionsSymmetrical Haar-like features enabled discrimination of subjects with and without hyperuricemia in our sample. The locations of these discriminative features were in agreement with the interpretation of tongue appearance in traditional Chinese and Western medicine.

Indexed as

HyperuricemiaAdultAgedAged, 80 and overCase-Control StudiesFemaleHumansMaleMiddle AgedPattern Recognition, AutomatedROC CurveTongueUric AcidUric Acid

Identifiers

PMID25961013
PMCPMC4414229

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