![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
"Predicting in vitro fertilization success in the Brazilian public health ..."
Nayara C. N. Barreto et al. (2022)
- Nayara C. N. Barreto, Giulia Zanon Castro, Ramon Gonçalves Pereira, Francisco A. N. Pereira, Fernando M. Reis, Wagner M. Junior, Ines K. D. Cavallo, Karina B. Gomes
:
Predicting in vitro fertilization success in the Brazilian public health system: a machine learning approach. Medical Biol. Eng. Comput. 60(7): 1851-1861 (2022)
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.