Evidence map›Paper›PMID 39184970›Full record

ArticleIEEE open journal of engineering in medicine and biology2024

Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets.

Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, Pejman Farhadi Ghalati, Sina Saffaran, Declan G Bates, Jonathan G Hardman, Richard Polzin, Hannah Mayer, Gernot Marx and 2 more

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. 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

12 authors.

Konstantin SharafutdinovInstitute for Computational BiomedicineRWTH Aachen University 52062 Aachen Germany.ORCID https://orcid.org/0000-0002-9604-5742
Sebastian Johannes FritschSMITH Consortium of the German Medical Informatics Initiative 04103 Leipzig Germany.ORCID https://orcid.org/0000-0002-8350-8584
Mina IravaniInstitute for Computational BiomedicineRWTH Aachen University 52062 Aachen Germany.
Pejman Farhadi GhalatiInstitute for Computational BiomedicineRWTH Aachen University 52062 Aachen Germany.
Sina SaffaranSchool of EngineeringUniversity of Warwick CV4 7AL Coventry U.K.
Declan G BatesSchool of EngineeringUniversity of Warwick CV4 7AL Coventry U.K.ORCID https://orcid.org/0000-0003-1395-9846
Jonathan G HardmanSchool of MedicineUniversity of Nottingham NG7 2RD Nottingham U.K.ORCID https://orcid.org/0000-0002-8959-8058
Richard PolzinInstitute for Computational BiomedicineRWTH Aachen University 52062 Aachen Germany.ORCID https://orcid.org/0000-0001-6831-3001
Hannah MayerSMITH Consortium of the German Medical Informatics Initiative 04103 Leipzig Germany.
Gernot MarxSMITH Consortium of the German Medical Informatics Initiative 04103 Leipzig Germany.
Johannes BickenbachSMITH Consortium of the German Medical Informatics Initiative 04103 Leipzig Germany.
Andreas SchuppertInstitute for Computational BiomedicineRWTH Aachen University 52062 Aachen Germany.ORCID https://orcid.org/0000-0003-3783-6605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ARDScomputational simulationdataset biasmachine learningvirtual patients

Identifiers

PMID39184970
PMCPMC11342939

What OpenQuestion holds

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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.