Evidence map›Paper›PMID 39597907›Full record

ArticleJournal of clinical medicine2024

Machine Learning Model for Predicting Walking Ability in Lower Limb Amputees.

Aleksandar Knezevic, Jovana Arsenovic, Enis Garipi, Nedeljko Platisa, Aleksandra Savic, Tijana Aleksandric, Dunja Popovic, Larisa Subic, Natasa Milenovic, Dusica Simic Panic and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

16 authors.

Aleksandar KnezevicFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0002-9297-793X
Jovana ArsenovicFaculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0002-0225-515X
Enis GaripiFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0002-4384-468X
Nedeljko PlatisaCenter for Physical Medicine and Rehabilitation, University Clinical Center of Vojvodina, 21000 Novi Sad, Serbia.
Aleksandra SavicFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0009-0007-4419-2939
Tijana AleksandricFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.
Dunja PopovicFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.
Larisa SubicFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0009-0001-3047-7681
Natasa MilenovicFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.
Dusica Simic PanicFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0003-0072-0705
Slavko BudinskiFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0001-8597-3570
Janko PasternakFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0002-4760-0041
Vladimir ManojlovicFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.
Milica Jeremic KnezevicFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0002-2802-8780
Mirna Kapetina RadovicFaculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0002-2034-3401
Zoran JelicicFaculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0001-9103-1280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

amputationrecovery of functionrehabilitationsupport vector machines

Identifiers

PMID39597907
PMCPMC11594448

What Socratic 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 Socratic graph.