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. 2023 May;78(5):1378-1380.
doi: 10.1111/all.15632. Epub 2023 Jan 6.

An artificial intelligence algorithm-based smartphone application for daily cough monitoring

Affiliations

An artificial intelligence algorithm-based smartphone application for daily cough monitoring

Ji-Su Shim et al. Allergy. 2023 May.
No abstract available

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References

REFERENCES

    1. Smith J, Woodcock A. New developments in the objective assessment of cough. Lung. 2008;186(Suppl 1):S48-S54.
    1. Hall JI, Lozano M, Estrada-Petrocelli L, Birring S, Turner R. The present and future of cough counting tools. J Thorac Dis. 2020;12(9):5207-5223.
    1. Perna LD, Spina G, Thackray-Nocera S, et al. An automated and unobtrusive system for cough detection. Paper presented at: 2017 IEEE Life Sciences Conference (LSC); 13-15; 2017.
    1. Smith JA, Birring SS, Dicpinigaitis PV, et al. Improvements in objective and subjective measures of chronic cough with gefapixant: a pooled phase 3 efficacy analysis of predefined subgroups. Lung. 2022;200(4):423-429.
    1. Spinou A, Birring SS. An update on measurement and monitoring of cough: what are the important study endpoints? J Thorac Dis. 2014;6(Suppl 7):S728-S734.

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