Bibliographic Details
| Title: |
Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study |
| Authors: |
Meghan R. Hutch, Jiyeon Son, Trang T. Le, Chuan Hong, Xuan Wang, Zahra Shakeri Hossein Abad, Michele Morris, Alba Gutiérrez-Sacristán, Jeffrey G. Klann, Anastasia Spiridou, Ashley Batugo, Riccardo Bellazzi, Vincent Benoit, Clara-Lea Bonzel, William A. Bryant, Lorenzo Chiudinelli, Kelly Cho, Priyam Das, Tomás González González, David A. Hanauer, Darren W. Henderson, Yuk-Lam Ho, Ne Hooi Will Loh, Adeline Makoudjou, Simran Makwana, Alberto Malovini, Bertrand Moal, Danielle L. Mowery, Antoine Neuraz, Malarkodi Jebathilagam Samayamuthu, Fernando J. Sanz Vidorreta, Emily R. Schriver, Petra Schubert, Jeffery Talbert, Amelia L. M. Tan, Byorn W. L. Tan, Bryce W. Q. Tan, Valentina Tibollo, Patric Tippman, Guillaume Verdy, William Yuan, Paul Avillach, Nils Gehlenborg, Gilbert S. Omenn, The Consortium for Clinical Characterization of COVID-19 by EHR (4CE), Shyam Visweswaran, Tianxi Cai, Yuan Luo, Zongqi Xia |
| Source: |
PLOS Digital Health, Vol 3, Iss 4 (2024) |
| Publisher Information: |
Public Library of Science (PLoS), 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Computer applications to medicine. Medical informatics |
| Subject Terms: |
Computer applications to medicine. Medical informatics, R858-859.7 |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2767-3170 |
| Relation: |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11018281/?tool=EBI; https://doaj.org/toc/2767-3170 |
| Access URL: |
https://doaj.org/article/ede912305b114c99a2c6d7a76129bf82 |
| Accession Number: |
edsdoj.912305b114c99a2c6d7a76129bf82 |
| Database: |
Directory of Open Access Journals |
