Prediction of the number of asthma patients using environmental factors based on deep learning algorithms.

Publication Year: 2023

DOI:
10.1186/s12931-023-02616-x

PMCID:
PMC10693131

PMID:
38041105

Journal Information

Full Title: Respir Res

Abbreviation: Respir Res

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Pulmonary Medicine

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Declarations Ethics approval and consent to participateNot applicable. Consent for publicationNot applicable. Competing interestsThe authors declare that they have no competing interests. Competing interests The authors declare that they have no competing interests."

Evidence found in paper:

"Funding This research was supported by the Fine Particle Research Initiative in East Asia Considering National Differences (FRIEND) Project through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT [Grant number NRF-2023M3G1A1090660], and this research was also supported by the National Research Foundation of Korea [Grant number NRF-2021R1C1C1013350]."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025