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Mendeley readers
Chapter title |
Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients
|
---|---|
Chapter number | 9 |
Book title |
Nature-Inspired Computation in Data Mining and Machine Learning
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-030-28553-1_9 |
Book ISBNs |
978-3-03-028552-4, 978-3-03-028553-1
|
Authors |
Mohamed Alloghani, Dhiya Al-Jumeily, Abir Hussain, Panagiotis Liatsis, Ahmed J. Aljaaf, Alloghani, Mohamed, Al-Jumeily, Dhiya, Hussain, Abir, Liatsis, Panagiotis, Aljaaf, Ahmed J. |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 3 | 12% |
Student > Ph. D. Student | 3 | 12% |
Lecturer | 2 | 8% |
Lecturer > Senior Lecturer | 2 | 8% |
Professor | 2 | 8% |
Other | 4 | 16% |
Unknown | 9 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 20% |
Engineering | 4 | 16% |
Unspecified | 3 | 12% |
Business, Management and Accounting | 1 | 4% |
Decision Sciences | 1 | 4% |
Other | 1 | 4% |
Unknown | 10 | 40% |