Evidence map›Paper›PMID 38911138›Full record

ArticleData in brief2024

Dried fish dataset for Indian seafood: A machine learning application.

Priyanka Paygude, Milind Gayakwad, Dhanashri Wategaonkar, Rajendra Pawar, Ramchandra Pujeri, Rahul Joshi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2024. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

6 authors.

Priyanka PaygudeBharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India.
Milind GayakwadBharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India.
Dhanashri WategaonkarDepartment of Computer Engineering and Technology, Dr Vishwanath Karad, MIT World Peace University, Pune, India.
Rajendra PawarMIT School of Computing, MIT Art Design and Technology University, Pune, India.
Ramchandra PujeriMIT School of Computing, MIT Art Design and Technology University, Pune, India.
Rahul JoshiSymbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dryingfish is a simple and economical way to process the catch. It creates a profitable business for coastal communities by providing a market for their catches, even during periods of abundance. It's a traditional method to preserve fish, especially valuable in regions where fresh fish isn't readily available or affordable throughout the year. This dataset provides a rich resource of

Indexed as

Dried fish classificationDried fish datasetDried fish detectionMachine learning

Identifiers

PMID38911138
PMCPMC11190497

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.