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Corrections to "Automatic Croup Diagnosis Using Cough Sound Recognition".

Roneel V Sharan, Udantha R Abeyratne, Vinayak R Swarnkar

    IEEE Transactions on Bio-Medical Engineering
    |April 26, 2019
    PubMed
    Summary

    This paper corrects shareholder information for a study on automatic croup diagnosis using cough sound recognition. The original study focused on analyzing cough sounds for diagnosing croup in children.

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    Area of Science:

    • Biomedical Engineering
    • Artificial Intelligence in Medicine
    • Respiratory Medicine

    Background:

    • Croup diagnosis in children can be challenging.
    • Objective methods for croup diagnosis are needed.
    • Automated analysis of cough sounds shows promise for respiratory illness detection.

    Purpose of the Study:

    • To present corrections to shareholder information for a previously published paper.
    • To ensure accuracy in the citation and attribution of the original work on automatic croup diagnosis.

    Main Methods:

    • This document does not present new research methods.
    • It serves as a corrigendum to a published IEEE Transactions on Biomedical Engineering paper.

    Main Results:

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    • Shareholder information in the original publication requires correction.
    • Ensures accurate referencing and credit for the research on cough sound recognition for croup diagnosis.

    Conclusions:

    • Accurate shareholder information is crucial for scientific integrity.
    • This correction maintains the credibility of the original study on automated croup diagnosis.