You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 27 | 31% |
| Student > Master | 9 | 10% |
| Student > Doctoral Student | 7 | 8% |
| Student > Postgraduate | 6 | 7% |
| Researcher | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 26 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 15% |
| Engineering | 10 | 11% |
| Nursing and Health Professions | 8 | 9% |
| Computer Science | 5 | 6% |
| Agricultural and Biological Sciences | 4 | 5% |
| Other | 18 | 21% |
| Unknown | 29 | 33% |