Borja
Velasco
Industrial PhD Student
Learning Systems
Research areas:
- Data mining
- Causal Inference
- Machine Learning
Impact areas:
- Healthcare
SDGs:
- GOAL 03: Good Health and Well-being
2024
Gil-Gonzalez Sergi,
Velasco-Regúlez Borja,
Cerquides Jesus,
Hinarejos Pedro,
Monllau Joan Carles,
& Pelfort Xavier
(2024).
Antibiotic-loaded bone cement is associated with a reduction of the risk of revision of total knee arthroplasty: Analysis of the Catalan Arthroplasty Register.
Knee Surgery, Sports Traumatology, Arthroscopy, n/a.
https://doi.org/10.1002/ksa.12361.
[BibTeX]
[PDF]
2023
Borja Velasco-Regulez,
& Jesus Cerquides
(2023).
Hydranet: A Neural Network for the Estimation of Multi-Valued Treatment Effects.
Artificial Intelligence Research and Development (pp 16--27).
IOS Press.
https://doi.org/10.3233/FAIA230655.
[BibTeX]
[PDF]
2022
Borja Velasco-Regulez,
Jose L. Fernandez-Marquez,
Nerea Luqui,
Jesus Cerquides,
Josep Analia Fukelman,
& Josep Perelló
(2022).
Is the phase of the menstrual cycle relevant when getting the covid-19 vaccine?.
American Journal of Obstetrics and Gynecology, 227, 913-915.
https://doi.org/10.1016/j.ajog.2022.07.052.
[BibTeX]
[PDF]
Borja Velasco,
Jesus Cerquides,
& Josep Lluis Arcos
(2022).
Multi-valued Treatment Effect Estimation for Health Technology Assessment with a Neural Network.
NeurIPS 2022 Workshop on Causality for Real-world Impact
.
[BibTeX]
[PDF]