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Núria
Núria
 
Correa
Correa

Industrial PhD Student
Industrial PhD Student


Núria
Núria
 
Correa
Correa
Industrial PhD Student
Industrial PhD Student

Learning Systems
Learning Systems
(+34) 93 580 9570 ext.
431833
431833
ncorrea@iiia.csic.es
ncorrea@iiia.csic.es
Research areas:
  • Causal Inference
  • Machine Learning
  • Optimisation
  • Causal Inference
  • Machine Learning
  • Optimisation
Impact areas:
  • Healthcare
  • Healthcare
SDGs:
  • GOAL 03: Good Health and Well-being
  • GOAL 03: Good Health and Well-being
2024
Nuria Correa,  Jesus Cerquides,  Rita Vassena,  Mina Popovic,  & Josep Lluis Arcos (2024). IDoser: Improving Individualized Dosing Policies with Clinical Practice and Machine Learning. Expert Systems with Applications, 238, 121796. https://doi.org/10.1016/j.eswa.2023.121796. [BibTeX]  [PDF]
Nuria Correa,  Jesus Cerquides,  Josep Lluis Arcos,  Rita Vassena,  & Mina Popovic (2024). Personalizing the First Dose of FSH for IVF/ICSI Patients through Machine Learning: A Non-Inferiority Study Protocol for a Multi-Center Randomized Controlled Trial. Trials, 25, 38. https://doi.org/10.1186/s13063-024-07907-2. [BibTeX]  [PDF]
2023
N Correa Mañas,  J Cerquides,  J L Arcos,  R Vassena,  & M Popovic (2023). A clinically robust machine learning model for selecting the first FSH dose during controlled ovarian hyperstimulation: incorporating clinical knowledge to the learning process. Human Reproduction, 38, dead093.226. https://doi.org/10.1093/humrep/dead093.226. [BibTeX]  [PDF]
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]