Evidence map›Paper›PMID 34745381›Full record

ArticleAir quality, atmosphere, & health2021

Application of neural network to simulate the behavior of hospitalizations and their costs under the effects of various polluting gases in the city of São Paulo.

Amanda Carvalho Miranda, José Carlos Curvelo Santana, Charles Lincoln Kenji Yamamura, Jorge Marcos Rosa, Elias Basile Tambourgi, Linda Lee Ho, Fernando Tobal Berssaneti

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Air quality, atmosphere, & health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
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, 10 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Amanda Carvalho MirandaDepartment of Pharmaceutical Sciences, Nine July University, São Paulo, Brazil.ORCID 0000-0002-8801-0822
José Carlos Curvelo SantanaDepartment of Production Engineering, Polytechnic School, University of São Paulo, Av. Prof. Luciano Gualberto, 1380, Butantã, São Paulo, SP 05508-010 Brazil.
Charles Lincoln Kenji YamamuraDepartment of Production Engineering, Polytechnic School, University of São Paulo, Av. Prof. Luciano Gualberto, 1380, Butantã, São Paulo, SP 05508-010 Brazil.
Jorge Marcos RosaSchool of Textile Technology of SENAI, Rua Correia de Andrade, 232 Brás, São Paulo, SP 03008-020 Brazil.
Elias Basile TambourgiSchool of Chemical Engineering, State University of Campinas, Barão Geraldo, Campinas, SP 13083-970 Brazil.
Linda Lee HoDepartment of Production Engineering, Polytechnic School, University of São Paulo, Av. Prof. Luciano Gualberto, 1380, Butantã, São Paulo, SP 05508-010 Brazil.
Fernando Tobal BerssanetiDepartment of Production Engineering, Polytechnic School, University of São Paulo, Av. Prof. Luciano Gualberto, 1380, Butantã, São Paulo, SP 05508-010 Brazil.
Universidade de São Paulo · BRServiço Nacional de Aprendizagem Industrial · BRUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aims to obtain an artificial neural network to simulate hospitalizations for respiratory diseases influenced by pollutant gaseous such as CO, PM

Indexed as

Artificial neural networkGaseous pollutantsHealth careHealth costsHospitalizationSimulation

Identifiers

PMID34745381
PMCPMC8556003
OpenAlexW3211224397

What OpenQuestion holds

Textmetadata
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.