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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
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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% |