Núria
Correa
Industrial PhD Student
Learning Systems
Research areas:
- Machine Learning
Impact areas:
- Healthcare
SDGs:
- GOAL 03: Good Health and Well-being
2022
Nuria Correa,
Jesús Cerquides,
Josep Lluis Arcos,
& Rita Vassena
(2022).
Supporting first FSH dosage for ovarian stimulation with machine learning.
Reproductive Biomedicine Online.
https://doi.org/10.1016/j.rbmo.2022.06.010.
[BibTeX]
2021
Núria Correa,
Jesús Cerquides,
Josep Lluis Arcos,
& Rita Vassena
(2021).
Development and validation of an Artificial Intelligence algorithm that matches a clinician ability to select the best follitropin dose for ovarian stimulation.
Human Reproduction, 36.
https://doi.org/10.1093/humrep/deab130.636.
[BibTeX]
Núria Correa,
Rita Vassena,
Jesus Cerquides,
& Josep Lluis Arcos
(2021).
Limits of conventional Machine Learning methods to predict pregnancy and multiple pregnancy after embryo transfer.
Ada Valls, & Mateu Villaret (Eds.),
Frontiers in Artificial Intelligence and Applications (pp 245-253).
IOS Press.
[BibTeX]