Evidence map›Paper›PMID 31656581›Full record

ArticleF1000Research

Feature selection with the R package

Michail Tsagris, Ioannis Tsamardinos

Abstract read
In one paragraph

Article in F1000Research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  11. Review
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  14. Relationship Between International Normalized Ratio to Albumin Ratio and Mortality in Critically Ill Patients With Myocardial Infarction.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

2 authors.

Michail TsagrisDepartment of Economics, University of Crete, Rethymnon, 74100, Greece.
Ioannis TsamardinosDepartment of Computer Science, University of Crete, Heraklion, Crete, 70013, Greece.ORCID https://orcid.org/0000-0002-2492-959X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feature (or variable) selection is the process of identifying the minimal set of features with the highest predictive performance on the target variable of interest. Numerous feature selection algorithms have been developed over the years, but only few have been implemented in R and made publicly available R as packages while offering few options. The R package

Indexed as

Algorithmsalgorithmscomputational efficiencyFeature selectionR package

Identifiers

PMID31656581
PMCPMC6792475

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.