Evidence map›Paper›PMID 41135577›Full record

ArticlePhysiological measurement2025

AI-based approach for heart failure readmission prediction using SCG, ECG, and GSR signals.

Rajkumar Dhar, Md Rakib Hossen, Peshala T Gamage, Richard H Sandler, Nirav Y Raval, Robert J Mentz, Hansen A Mansy

Abstract read
In one paragraph

Article in Physiological measurement, 2025. 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.

Rajkumar DharQuantitative Health Science, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, United States of America.ORCID 0000-0003-0047-2721
Md Rakib HossenBiomedical Acoustic Research Lab, University of Central Florida, Orlando, FL 32816, United States of America.ORCID 0009-0003-7284-1917
Peshala T GamageFlorida Tech, Melbourne, FL 32901, United States of America.
Richard H SandlerBiomedical Acoustic Research Lab, University of Central Florida, Orlando, FL 32816, United States of America.
Nirav Y RavalAdvent Health, Orlando, FL, United States of America.
Robert J MentzDuke University, Durham, NC 27715, United States of America.
Hansen A MansyBiomedical Acoustic Research Lab, University of Central Florida, Orlando, FL 32816, United States of America.

Funding

A device for monitoring heart failure patientsR44HL099053 · NHLBI · BIOMEDICAL ACOUSTICS RESEARCH COMPANY · PI SANDLER, RICHARD HAROLD · 2017 to 2019
$1.3M
NHLBI NIH HHS R44 HL099053
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceElectrocardiographyHeart FailurePatient ReadmissionSignal Processing, Computer-AssistedAgedFemaleHeart RateHumansMachine LearningMaleMiddle Agedheart failure readmissionmachine learningseismocardiogramsignal processing

Identifiers

PMID41135577
PMCPMC12583931

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.