Evidence map›Paper›PMID 37431018›Full record

ArticleFoods (Basel, Switzerland)2022

Classification and Feature Extraction Using Supervised and Unsupervised Machine Learning Approach for Broiler Woody Breast Myopathy Detection.

Aftab Siddique, Charles B Herron, Jaroslav Valenta, Laura J Garner, Ashish Gupta, Jason T Sawyer, Amit Morey

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 2 institutions in 2 countries.

Aftab SiddiqueDepartment of Poultry Science, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0003-1427-4777
Charles B HerronDepartment of Poultry Science, Auburn University, Auburn, AL 36849, USA.
Jaroslav ValentaDepartment of Animal Science, Czech University of Life Sciences Prague, 16500 Prague, Czech Republic.ORCID 0000-0001-7744-8223
Laura J GarnerDepartment of Poultry Science, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0001-9406-0861
Ashish GuptaDepartment of Business Analytics and Information, Auburn University, Auburn, AL 36849, USA.
Jason T SawyerDepartment of Animal Sciences, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0001-5524-684X
Amit MoreyDepartment of Poultry Science, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0003-4726-8322
Auburn University · USCzech University of Life Sciences Prague · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioelectrical impedance analysis (BIA) was established to quantify diverse cellular characteristics. This technique has been widely used in various species, such as fish, poultry, and humans for compositional analysis. This technology was limited to offline quality assurance/detection of woody breast (WB); however, inline technology that can be retrofitted on the conveyor belt would be more helpful to processors. Freshly deboned (

Indexed as

bioelectrical impedancehand palpationin-line processingsupervised learningunsupervised learningwoody breast

Identifiers

PMID37431018
PMCPMC9601423
OpenAlexW4306918631

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.