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Timeline
X Demographics
Mendeley readers
Title |
Predicting ward transfer mortality with machine learning
|
---|---|
Published in |
Frontiers in Artificial Intelligence, August 2023
|
DOI | 10.3389/frai.2023.1191320 |
Pubmed ID | |
Authors |
Jose L. Lezama, Gil Alterovitz, Colleen E. Jakey, Ana L. Kraus, Michael J. Kim, Andrew A. Borkowski |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 12% |
Student > Master | 2 | 12% |
Researcher | 1 | 6% |
Student > Bachelor | 1 | 6% |
Unknown | 11 | 65% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 18% |
Computer Science | 2 | 12% |
Social Sciences | 1 | 6% |
Unknown | 11 | 65% |