Detecting Pathogen Exposure During the Non-symptomatic Incubation Period Using Physiological Data: Proof of Concept in Non-human Primates

Detecting Pathogen Exposure During the Non-symptomatic Incubation Period Using Physiological Data: Proof of Concept in Non-human Primates

Background and Objectives: Early warning of bacterial and viral infection, prior to the development of overt clinical symptoms, allows not only for improved patient care and outcomes but also enables faster implementation of public health measures (patient isolation and contact tracing). Our primary...

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Bibliographic Details
Main Authors: Shakti Davis, Lauren Milechin, Tejash Patel, Mark Hernandez, Greg Ciccarelli, Siddharth Samsi, Lisa Hensley, Arthur Goff, John Trefry, Sara Johnston, Bret Purcell, Catherine Cabrera, Jack Fleischman, Albert Reuther, Kajal Claypool, Franco Rossi, Anna Honko, William Pratt, Albert Swiston
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Physiology
Subjects:
machine learning
random forest
physiological signals
incubation period
pre-symptomatic
early infection detection
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2021.691074/full

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https://www.frontiersin.org/articles/10.3389/fphys.2021.691074/full

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