Evidence map›Paper›PMID 39416493›Full record

ArticleBiology of sport2024

Predictive analysis of ratings of perceived exertion in elite Gaelic football.

Dermot Sheridan, Aidan J Brady, Dongyun Nie, Mark Roantree

Abstract read
In one paragraph

Article in Biology of sport, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Dermot SheridanSchool of Computing, Dublin City University, Dublin, Ireland.
Aidan J BradyInsight Centre for Data Analytics, Dublin City University, Dublin, Ireland.
Dongyun NieSchool of Computing, Dublin City University, Dublin, Ireland.
Mark RoantreeSchool of Computing, Dublin City University, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to compare the predictive accuracy of absolute and relative external load indices (ELI) across three machine learning models, and predict the rating of perceived exertion (RPE) of elite Gaelic football players using ELI, personal characteristics, wellness scores, and training workloads. ELI and related variables were collected from 49 elite Gaelic football players over three competitive seasons resulting in 1617 observations. ELI included total distance, high speed running distance (≥ 4.72 m · s

Indexed as

Athlete monitoringExternal loadGlobal positioning systemsMachine learningTeam sports

Identifiers

PMID39416493
PMCPMC11474986

What OpenQuestion holds

Textmetadata
LicenceCC BY-SA
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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.