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X Demographics
Mendeley readers
| Title |
Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, April 2022
|
| DOI | 10.3389/frai.2022.640926 |
| Pubmed ID | |
| Authors |
Yuanda Zhu, Janani Venugopalan, Zhenyu Zhang, Nikhil K. Chanani, Kevin O. Maher, May D. Wang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Unspecified | 2 | 20% |
| Researcher | 2 | 20% |
| Student > Doctoral Student | 1 | 10% |
| Student > Postgraduate | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 10% |
| Linguistics | 1 | 10% |
| Computer Science | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 3 | 30% |