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Mendeley readers
| Chapter title |
Early Detection of Sepsis Induced Deterioration Using Machine Learning
|
|---|---|
| Chapter number | 1 |
| Book title |
Artificial Intelligence
|
| Published by |
Springer, Cham, November 2018
|
| DOI | 10.1007/978-3-030-31978-6_1 |
| Book ISBNs |
978-3-03-031977-9, 978-3-03-031978-6
|
| Authors |
Francesco Dal Canton, Vincent M. Quinten, Marco A. Wiering, Dal Canton, Francesco, Quinten, Vincent M., Wiering, Marco A. |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 14% |
| Researcher | 2 | 14% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Master | 1 | 7% |
| Professor > Associate Professor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 21% |
| Medicine and Dentistry | 2 | 14% |
| Nursing and Health Professions | 1 | 7% |
| Computer Science | 1 | 7% |
| Unknown | 7 | 50% |