Evidence map›Paper›PMID 39685811›Full record

ArticleJournal of clinical medicine2024

Machine Learning Classification of Pediatric Health Status Based on Cardiorespiratory Signals with Causal and Information Domain Features Applied-An Exploratory Study.

Maciej Rosoł, Jakub S Gąsior, Kacper Korzeniewski, Jonasz Łaba, Robert Makuch, Bożena Werner, Marcel Młyńczak

Abstract read
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. 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

7 authors.

Maciej RosołInstitute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, 02-525 Warsaw, Poland.ORCID 0000-0001-7379-6175
Jakub S GąsiorDepartment of Pediatric Cardiology and General Pediatrics, Medical University of Warsaw, 02-091 Warsaw, Poland.ORCID 0000-0002-2009-2200
Kacper KorzeniewskiInstitute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, 02-525 Warsaw, Poland.
Jonasz ŁabaInstitute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, 02-525 Warsaw, Poland.
Robert MakuchDepartment of Physical Education, Kazimierz Pulaski University of Technology and Humanities in Radom, 26-600 Radom, Poland.ORCID 0000-0001-5447-6854
Bożena WernerDepartment of Pediatric Cardiology and General Pediatrics, Medical University of Warsaw, 02-091 Warsaw, Poland.ORCID 0000-0002-6416-4106
Marcel MłyńczakInstitute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, 02-525 Warsaw, Poland.ORCID 0000-0001-8549-7973

Funding

POB Biotechnology and biomedical engineering of Warsaw University of Technology Excellence Initiative: Research University (IDUB) program
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cardiorespiratory couplingcardiorespiratory parameterscausalityhealth statusmachine learningXAI

Identifiers

PMID39685811
PMCPMC11642896

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.