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Machine Learning-Based Algorithm to Predict Death from COVID-19

Machine Learning-Based Algorithm to Predict Death from COVID-19

FromModPath Chat


Machine Learning-Based Algorithm to Predict Death from COVID-19

FromModPath Chat

ratings:
Length:
17 minutes
Released:
Dec 22, 2020
Format:
Podcast episode

Description

Dr. Netto discusses with his two guests, Dr. Peter MCaffrey from the UTMB in Galveston and Dr. Adam Booth, their publication on developing a machine learning model using 5 serumchemistry laboratory parameters for the prediction of death from COVID-19. The discussion is followed by a conversation on the exciting role of AI and social media in Pathology given the unique expertise of the guests. Study by Booth et al, Development of a prognostic model for mortality in COVID-19 infection using machine learning. Modern Pathology, 2020. https://www.nature.com/articles/s41379-020-00700-x Our GDPR privacy policy was updated on August 8, 2022. Visit acast.com/privacy for more information.
Released:
Dec 22, 2020
Format:
Podcast episode

Titles in the series (58)

ModPath Chat is the official podcast of Modern Pathology, the journal of the US and Canadian Academy of Pathology (USCAP). ModPath Chat features interviews with authors, opinion leaders and experts on the latest science, technology, and developments in the field of pathology. The monthly podcast series is hosted by Dr. George J. Netto, the Editor-in-Chief of Modern Pathology and the Chair of Pathology at the University of Alabama in Birmingham Our GDPR privacy policy was updated on August 8, 2022. Visit acast.com/privacy for more information.