A retrospective cohort analysis leveraging augmented intelligence to characterize lon... | RTCL.TV
Channel: Social RTCL TV
Date: 2024-03-29

### Keywords ###
#jointpain #distributedrepresentation #representationlearning #persistentpostacute #postacutesequelae #pain #symptoms #RTCLTV #shorts

### Article Attribution ###
Title: A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework.
Authors: Zachary H Strasser, Arianna Dagliati, Zahra Shakeri Hossein Abad, Jeffrey G Klann, Kavishwar B Wagholikar, Rebecca Mesa, Shyam Visweswaran, Michele Morris, Yuan Luo, Darren W Henderson, Malarkodi Jebathilagam Samayamuthu, Consortium for Clinical Characterization of COVID-19 by EHR (4CE), Gilbert S Omenn, Zongqi Xia, John H Holmes, Hossein Estiri ,and Shawn N Murphy
Publisher: Public Library of Science (PLoS)
DOI: 10.1371/journal.pdig.0000301
DOAJ URL: https://doaj.org/article/0df9f19913b8405cbe7202c8eb3064a3
Source URL: https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000301&type=printable



### Image Attribution ###
We used stable diffusion to programmatically generate the images. Viewer discretion is advised.
Software Attribution: https://github.com/brycedrennan/imaginAIry

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### Video Timestamps ###
0:00:00 - Summary 
0:00:33 - Title 
0:00:41 - End