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Mendeley readers
| Title |
Machine learning for predictive analyses in health: an example of an application to predict death in the elderly in São Paulo, Brazil
|
|---|---|
| Published in |
Cadernos de Saúde Pública, January 2019
|
| DOI | 10.1590/0102-311x00050818 |
| Pubmed ID | |
| Authors |
Hellen Geremias Dos Santos, Carla Ferreira do Nascimento, Rafael Izbicki, Yeda Aparecida de Oliveira Duarte, Alexandre Dias Porto Chiavegatto Filho |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 27 | 30% |
| Student > Master | 10 | 11% |
| Student > Doctoral Student | 7 | 8% |
| Student > Postgraduate | 6 | 7% |
| Researcher | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 28 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 15% |
| Engineering | 11 | 12% |
| Nursing and Health Professions | 8 | 9% |
| Computer Science | 5 | 6% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 17 | 19% |
| Unknown | 31 | 35% |