Evidence map›Paper›PMID 36860496›Full record

ArticleIEEE open journal of engineering in medicine and biology2022

Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for

Vasileios C Pezoulas, Nikolaos S Tachos, George Gkois, Iacopo Olivotto, Fausto Barlocco, Dimitrios I Fotiadis

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Vasileios C PezoulasUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and EngineeringUniversity of Ioannina GR45110 Ioannina Greece.ORCID https://orcid.org/0000-0002-1872-693X
Nikolaos S TachosUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and EngineeringUniversity of Ioannina GR45110 Ioannina Greece.
George GkoisUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and EngineeringUniversity of Ioannina GR45110 Ioannina Greece.
Iacopo OlivottoDepartment of Experimental and Clinical MedicineUniversity of Florence 50121 Florence Italy.
Fausto BarloccoDepartment of Experimental and Clinical MedicineUniversity of Florence 50121 Florence Italy.
Dimitrios I FotiadisUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and EngineeringUniversity of Ioannina GR45110 Ioannina Greece.ORCID https://orcid.org/0000-0002-5987-9350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

computational complexity[Formula: see text] clinical trialsGaussian Mixture Modelshypertrophic cardiomyopathysynthetic data generator

Identifiers

PMID36860496
PMCPMC9970043

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.