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Machine-learning device for in-home detection and diagnosis of COVID-19 patients' health.

Kathleen Berger, Dr. Brian Kim, and Damien Abreu and Lena Dang, both fourth-year medical students at Washington University, discuss a clinical trial to test machine learning for in-home detection and diagnosis of the health of COVID-19 patients.

Bibliographic Details
Other Authors: Abreu, Damien (academic.), Berger, Kathleen (Narrator), Dang, Lena (academic.)
Format: Video
Language:English
Language Notes:Closed-captioned in English.
Published: [Place of publication not identified] : Educate.Today, 2020.
Subjects:
Machine learning > Testing.
Clinical trials > Statistical methods.
COVID-19 (Disease) > Patients > Research.
Études cliniques > Méthodes statistiques.
COVID-19 > Patients > Recherche.
Online Access:Connect to this streaming video
Description
Summary:Kathleen Berger, Dr. Brian Kim, and Damien Abreu and Lena Dang, both fourth-year medical students at Washington University, discuss a clinical trial to test machine learning for in-home detection and diagnosis of the health of COVID-19 patients.
Physical Description:1 online resource (1 video file (00:04:08)) : sound, colour
ISBN:9781529790085
1529790085