Title |
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning
|
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Published in |
Annals of Intensive Care, October 2022
|
DOI | 10.1186/s13613-022-01070-0 |
Pubmed ID | |
Authors |
Tariq A. Dam, Luca F. Roggeveen, Fuda van Diggelen, Lucas M. Fleuren, Ameet R. Jagesar, Martijn Otten, Heder J. de Vries, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Dave A. Dongelmans, Remko de Jong, Marco A. A. Peters, Marlijn J. A. Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G. C. A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G. M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans, Cornelis P. C. de Jager, Stefaan H. A. Hendriks, Sefanja Achterberg, Evelien Oostdijk, Auke C. Reidinga, Barbara Festen-Spanjer, Gert B. Brunnekreef, Alexander D. Cornet, Walter van den Tempel, Age D. Boelens, Peter Koetsier, Judith Lens, Harald J. Faber, A. Karakus, Robert Entjes, Paul de Jong, Thijs C. D. Rettig, Sesmu Arbous, Sebastiaan J. J. Vonk, Tomas Machado, Willem E. Herter, Harm-Jan de Grooth, Patrick J. Thoral, Armand R. J. Girbes, Mark Hoogendoorn, Paul W. G. Elbers |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 17% |
Chile | 1 | 8% |
United States | 1 | 8% |
Spain | 1 | 8% |
Senegal | 1 | 8% |
Malaysia | 1 | 8% |
Japan | 1 | 8% |
Unknown | 4 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 58% |
Science communicators (journalists, bloggers, editors) | 3 | 25% |
Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 11% |
Student > Ph. D. Student | 2 | 11% |
Researcher | 2 | 11% |
Professor | 1 | 6% |
Librarian | 1 | 6% |
Other | 2 | 11% |
Unknown | 8 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 39% |
Arts and Humanities | 1 | 6% |
Immunology and Microbiology | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 8 | 44% |