Evidence map›Paper›PMID 36498408›Full record

ArticleInternational journal of environmental research and public health2022

Artificial Neural Network Modeling on PM

Soo-Min Choi, Hyo Choi

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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. PM2.5 Concentration Prediction Model: A CNN-RF Ensemble Framework.International journal of environmental research and public health · 2023
    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

2 authors.

Soo-Min ChoiDepartment of Computer Engineering, Konkuk University, Chungju 27478, Republic of Korea.ORCID 0000-0003-2847-6484
Hyo ChoiAtmospheric and Oceanic Disaster Research Institute, Gangneung 25563, Republic of Korea.ORCID 0000-0002-3808-1438

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mutual relationship among daily averaged PM

Indexed as

Air PollutantsAir PollutionCOVID-19CitiesCommunicable Disease ControlEnvironmental MonitoringHumansNeural Networks, ComputerPandemicsParticulate MatterAir PollutantsParticulate Matterair qualityartificial neural network modelcoefficient of determinationCOVID-19 pandemicNO2PM10PM2.5root mean square error

Identifiers

PMID36498408
PMCPMC9737941

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.