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| Chapter title |
Early Prediction of Severe Maternal Morbidity Using Machine Learning Techniques
|
|---|---|
| Chapter number | 22 |
| Book title |
Advances in Artificial Intelligence - IBERAMIA 2016
|
| Published by |
Springer International Publishing, January 2016
|
| DOI | 10.1007/978-3-319-47955-2_22 |
| Book ISBNs |
978-3-31-947954-5, 978-3-31-947955-2
|
| Authors |
Eugenia Arrieta Rodríguez, Francisco Edna Estrada, William Caicedo Torres, Juan Carlos Martínez Santos |
| Editors |
Manuel Montes y Gómez, Hugo Jair Escalante, Alberto Segura, Juan de Dios Murillo |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 22% |
| Student > Bachelor | 4 | 15% |
| Student > Master | 4 | 15% |
| Lecturer | 2 | 7% |
| Professor | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 37% |
| Medicine and Dentistry | 5 | 19% |
| Engineering | 2 | 7% |
| Social Sciences | 1 | 4% |
| Unknown | 9 | 33% |