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X Demographics
Mendeley readers
| Title |
Unveiling the predictive power: a comprehensive study of machine learning model for anticipating chronic kidney disease
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, January 2024
|
| DOI | 10.3389/frai.2023.1339988 |
| Pubmed ID | |
| Authors |
Nitasha Khan, Muhammad Amir Raza, Nayyar Hussain Mirjat, Neelam Balouch, Ghulam Abbas, Amr Yousef, Ezzeddine Touti |
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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 3 | 33% |
| Student > Doctoral Student | 1 | 11% |
| Researcher | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Student > Postgraduate | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 44% |
| Veterinary Science and Veterinary Medicine | 1 | 11% |
| Environmental Science | 1 | 11% |
| Engineering | 1 | 11% |
| Unknown | 2 | 22% |