Evidence map›Paper›PMID 21747817›Full record

ArticleInternational journal of biomedical imaging2011

Gas discharge visualization: an imaging and modeling tool for medical biometrics.

Nataliya Kostyuk, Phyadragren Cole, Natarajan Meghanathan, Raphael D Isokpehi, Hari H P Cohly

Open access · goldAbstract read
In one paragraph

Article in International journal of biomedical imaging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. An Integrative Review of Scientific Evidence for Reconnective Healing.Journal of alternative and complementary medicine (New York, N.Y.) · 2017
    Review
  3. Article
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4 · The record

Corrections and comments

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 at 1 institution in 1 country.

Nataliya KostyukCenter for Bioinformatics and Computational Biology, Jackson State University, Jackson, MS 39217, USA.
Phyadragren Cole
Natarajan Meghanathan
Raphael D Isokpehi
Hari H P Cohly
Jackson State University · US

Funding

TRANSCRIPTOMICS OF GIARDIA LAMBLIAG12RR013459 · NCRR · JACKSON STATE UNIVERSITY · PI TCHOUNWOU, PAUL B. · 1998 to 2011
$18.0M
Bioinformatics Programs at Minority InstitutionsT36GM008789 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI NICHOLAS, HUGH BLACKARD · 2001 to 2009
$5.3M
NCRR NIH HHS G12 RR013459NIGMS NIH HHS T36 GM008789
6 · The paper itself

Abstract

The need for automated identification of a disease makes the issue of medical biometrics very current in our society. Not all biometric tools available provide real-time feedback. We introduce gas discharge visualization (GDV) technique as one of the biometric tools that have the potential to identify deviations from the normal functional state at early stages and in real time. GDV is a nonintrusive technique to capture the physiological and psychoemotional status of a person and the functional status of different organs and organ systems through the electrophotonic emissions of fingertips placed on the surface of an impulse analyzer. This paper first introduces biometrics and its different types and then specifically focuses on medical biometrics and the potential applications of GDV in medical biometrics. We also present our previous experience with GDV in the research regarding autism and the potential use of GDV in combination with computer science for the potential development of biological pattern/biomarker for different kinds of health abnormalities including cancer and mental diseases.

Identifiers

PMID21747817
PMCPMC3124241
OpenAlexW1978026492

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.