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Mendeley readers
| Chapter title |
A Data-Driven Model Based on Support Vector Machine to Identify Chronic Hypertensive and Diabetic Patients
|
|---|---|
| Chapter number | 7 |
| Book title |
Physiological Computing Systems
|
| Published by |
Springer, Cham, August 2019
|
| DOI | 10.1007/978-3-030-27950-9_7 |
| Book ISBNs |
978-3-03-027949-3, 978-3-03-027950-9
|
| Authors |
Cristina Soguero-Ruiz, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez, Soguero-Ruiz, Cristina, de Miguel-Bohoyo, Pablo, Mora-Jiménez, Inmaculada |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 25% |
| Professor > Associate Professor | 1 | 25% |
| Researcher | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 1 | 25% |
| Business, Management and Accounting | 1 | 25% |
| Decision Sciences | 1 | 25% |
| Unknown | 1 | 25% |