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Mendeley readers
Title |
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital
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Published in |
Journal of Intelligent Information Systems, July 2023
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DOI | 10.1007/s10844-023-00790-4 |
Authors |
Hugo Álvarez-Chaves, Pablo Muñoz, María D. R-Moreno |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 3 | 18% |
Student > Master | 3 | 18% |
Unknown | 11 | 65% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 3 | 18% |
Business, Management and Accounting | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Social Sciences | 1 | 6% |
Unknown | 11 | 65% |