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Early COVID-19 Diagnosis from Cough Sound Using Random Forest and Low-Level Descriptors

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Early COVID-19 Diagnosis from Cough Sound Using Random Forest and Low-Level Descriptors

Repository of the paper Early COVID-19 Diagnosis from Cough Sound Using Random Forest and Low-Level Descriptors which is accepted for publication in the proceedings of The Third International Conference on Computer and Information Sciences 2021 (ICCIS 2021).

Link to conference: https://www.ju.edu.sa/en/iccis/home/

paper_83 (1).pdf is the final submission and will be published after the conference (postponed from 22-23 March 2022 to a later date) under IEEE copyrights

Source code will be available later in this repository
The used data will be available later here.

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Early COVID-19 Diagnosis from Cough Sound Using Random Forest and Low-Level Descriptors

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