Advances in Digital Science
Springer International Publishing
Chapter title |
Prediction Models for Polycystic Ovary Syndrome Using Data Mining
|
---|---|
Book title |
Advances in Digital Science
|
Published by |
Springer, Cham, March 2021
|
DOI | 10.1007/978-3-030-71782-7_19 |
Book ISBNs |
978-3-03-071781-0, 978-3-03-071782-7
|
Authors |
Cristiana Neto, Mateus Silva, Mariana Fernandes, Diana Ferreira, José Machado, Neto, Cristiana, Silva, Mateus, Fernandes, Mariana, Ferreira, Diana, Machado, José |
Country | Count | As % |
---|---|---|
Portugal | 1 | 100% |
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 14% |
Lecturer | 1 | 7% |
Other | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Student > Postgraduate | 1 | 7% |
Other | 0 | 0% |
Unknown | 8 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 29% |
Earth and Planetary Sciences | 1 | 7% |
Engineering | 1 | 7% |
Unknown | 8 | 57% |