Evidence map›Paper›PMID 40391117›Full record

ArticleProceedings. IEEE International Conference on Healthcare Informatics2024

Online Transfer Learning for RSV Case Detection.

Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F Cooper, Jessi Espino, Harry Hochheiser, Marian G Michaels, John M Aronis, Chenxi Song, Ye Ye

Abstract read
In one paragraph

Article in Proceedings. IEEE International Conference on Healthcare Informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems.Proceedings of the ... SIAM International Conference on Data Mining. SIAM International Conference on Data Mining · 2025
    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

10 authors.

Yiming SunDepartment of Electrical and Computer Engineering University of Pittsburgh Pittsburgh.
Yuhe GaoDepartment of Biomedical Informatics University of Pittsburgh Pittsburgh, USA.
Runxue BaoDepartment of Electrical and Computer Engineering University of Pittsburgh Pittsburgh, USA.
Gregory F CooperDepartment of Biomedical Informatics University of Pittsburgh Pittsburgh, USA.
Jessi EspinoDepartment of Biomedical Informatics University of Pittsburgh Pittsburgh, USA.
Harry HochheiserDepartment of Biomedical Informatics University of Pittsburgh Pittsburgh, USA.
Marian G MichaelsDepartment of Pediatrics University of Pittsburgh Pittsburgh, USA.
John M AronisDepartment of Biomedical Informatics University of Pittsburgh Pittsburgh, USA.
Chenxi SongDepartment of Biomedical Informatics University of Pittsburgh Pittsburgh, USA.
Ye YeDepartment of Biomedical Informatics University of Pittsburgh Pittsburgh, USA.

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
MIDAS Coordination CenterU24GM132013 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOCHHEISER, HARRY S · 2019 to 2023
$8.1M
Automated Surveillance of Overlapping Outbreaks and New Outbreak DiseasesR01LM013509 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COOPER, GREGORY F. · 2021 to 2023
$1.0M
Transfer learning to improve the re-usability of computable biomedical knowledgeR00LM013383 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YE, YE · 2022 to 2024
$710k
NCATS NIH HHS UL1 TR001857NCIRD CDC HHS U01 IP001184NIGMS NIH HHS U24 GM132013NLM NIH HHS R00 LM013383NLM NIH HHS R01 LM013509
6 · The paper itself

Abstract

Transfer learning has become a pivotal technique in machine learning and has proven to be effective in various real-world applications. However, utilizing this technique for classification tasks with sequential data often faces challenges, primarily attributed to the scarcity of class labels. To address this challenge, we introduce

Indexed as

dynamic weighting mechanismelectronic health recordensemble methodonline transfer learningRespiratory Syncytial Virus case detection

Identifiers

PMID40391117
PMCPMC12086431

What OpenQuestion holds

Textmetadata
LicenceTDM
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.