| Title |
Predictive models for bariatric surgery risks with imbalanced medical datasets
|
|---|---|
| Published in |
Annals of Operations Research, February 2019
|
| DOI | 10.1007/s10479-019-03156-8 |
| Authors |
Talayeh Razzaghi, Ilya Safro, Joseph Ewing, Ehsan Sadrfaridpour, John D. Scott |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 17% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Doctoral Student | 5 | 8% |
| Researcher | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 24 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 20% |
| Medicine and Dentistry | 6 | 10% |
| Decision Sciences | 2 | 3% |
| Engineering | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 32 | 53% |