Evidence map›Paper›PMID 40837693›Full record

ArticleEnvironment & health (Washington, D.C.)2025

Nationwide Machine Learning-Ensemble PM

Seoyeong Ahn, Ayoung Kim, Yeonseung Chung, Cinoo Kang, Sooyoung Kim, Dohoon Kwon, Jiwoo Park, Jieun Oh, Jinah Park, Jeongmin Moon and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environment & health (Washington, D.C.), 2025. 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. 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

15 authors.

Seoyeong AhnDepartment of Information Convergence Engineering, Pusan National University, Busan 46241, South Korea.
Ayoung KimDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, South Korea.
Yeonseung ChungDepartment of Mathematical Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34051, South Korea.
Cinoo KangDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, South Korea.
Sooyoung KimSchool of the Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, South Korea.
Dohoon KwonDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, South Korea.
Jiwoo ParkDepartment of Information Convergence Engineering, Pusan National University, Busan 46241, South Korea.
Jieun OhDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, South Korea.
Jinah ParkDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, South Korea.
Jeongmin MoonDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, South Korea.
Insung SongDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, South Korea.
Jieun MinDepartment of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul 07804, South Korea.
Hyung Joo LeeResearch and Management Center for Health Risk of Particulate Matter, Seoul 02841, South Korea.ORCID https://orcid.org/0000-0001-5519-5042
Ho KimDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, South Korea.
Whanhee LeeSchool of the Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, South Korea.ORCID https://orcid.org/0000-0001-5723-9061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several

Indexed as

and Machine learning algorithmsFine particulate matter (PM2.5)Forecasting modelsMapping prediction modelsPM2.5-related Health risk estimation

Identifiers

PMID40837693
PMCPMC12362205

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.