Evidence map›Paper›PMID 41737478›Full record

ArticleFrontiers in big data2026

A genetic algorithm-based framework for online sparse feature selection in data streams.

Guanyu Liu, Jinhang Liu, Guifan He, Yifan Liu, Huabo Bai, Min Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in big data, 2026. 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

6 authors.

Guanyu LiuCollege of Computer and Information Science, Southwest University, Chongqing, China.
Jinhang LiuCollege of Computer and Information Science, Southwest University, Chongqing, China.
Guifan HeCollege of Computer and Information Science, Southwest University, Chongqing, China.
Yifan LiuCollege of Computer and Information Science, Southwest University, Chongqing, China.
Huabo BaiCollege of Computer and Information Science, Southwest University, Chongqing, China.
Min ZhouOffice of Informatization Construction, Southwest University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-dimensional streaming data implementations commonly utilize online streaming feature selection (OSFS) techniques. In practice, however, incomplete data due to equipment failures and technical constraints often poses a significant challenge. Online Sparse Streaming Feature Selection (OS

Indexed as

feature selectiongenetic algorithmlatent factor analysismissing dataonline learning

Identifiers

PMID41737478
PMCPMC12926108

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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.