AI Tech Detects Coughs Symptomatic To COVID-19
By Mat Dirjish
Artificial intelligence (AI) tools developer SensiML is collaborating on a multi-group effort to use its AI technology to help predict whether people are showing symptoms of COVID-19 infection. One such aspect of the collaboration involves using crowdsourcing to collect cough sounds from a large number of volunteers and then analyzing that data plus other datasets from the consortium using the SensiML Analytics Toolkit to identify the unique cough patterns common to COVID-19 infections.
The collaborative consortium consists of companies, universities, and health organizations like Asymmetric Return Capital, SkyWater Technology, and Upward Health. In addition to its work with the consortium, SensiML plans to open-source its own crowdsourced cough sound dataset for researchers at large to access.
To support the crowdsourcing effort, the company provides a web-based data collection page that explains the contribution process and includes a brief, voluntary questionnaire. The site does not collect user-identifying information and all data submissions are anonymous. Those wishing to contribute a cough sample for the initiative, feel free to hack up a few for SensiML. And for more details in general visit SensiML.
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