Maria Torrente

According to our database, Maria Torrente authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings.

Samuele Buosi, Mohan Timilsina, Adrianna Janik, Luca Costabello, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek

Expert Syst. Appl., January, 2024

2023

Transformers for extracting breast cancer information from Spanish clinical narratives.

Oswaldo Solarte Pabón, Orlando Montenegro, Alvaro Garcia-Barragán, Maria Torrente, Mariano Provencio, Ernestina Menasalvas, Víctor Robles

Artif. Intell. Medicine, September, 2023

Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer.

Mohan Timilsina, Dirk Fey, Samuele Buosi, Adrianna Janik, Luca Costabello, Enric Carcereny, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Pasquale Minervini, Maria Torrente, Mariano Provencio, Vít Novácek

J. Biomed. Informatics, August, 2023

Knowledge graphs for enhancing transparency in health data ecosystems.

Fotis Aisopos, Samaneh Jozashoori, Emetis Niazmand, Disha Purohit, Ariam Rivas, Ahmad Sakor, Enrique Iglesias, Dimitrios Vogiatzis, Ernestina Menasalvas, Alejandro Rodríguez González, Guillermo Vigueras, Daniel Gómez-Bravo, Maria Torrente, Roberto Hernández López, Mariano Provencio Pulla, Athanasios Dalianis, Anna Triantafillou, Georgios Paliouras, Maria-Esther Vidal

Semantic Web, 2023

Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient.

Mohan Timilsina, Samuele Buosi, Adrianna Janik, Pasquale Minervini, Luca Costabello, Maria Torrente, Mariano Provencio, Virginia Calvo, Carlos Camps, Ana L. Ortega, Bartomeu Massutí, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Vít Novácek

Proceedings of the International Joint Conference on Neural Networks, 2023

Clustering-based Pattern Discovery in Lung Cancer Treatments.

Daniel Gómez-Bravo, Aaron García, Guillermo Vigueras, Belén Ríos-Sánchez, Alejandra Pérez-García, Vanessa Ospina, María Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach.

Oswaldo Solarte Pabón, Orlando Montenegro, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas

PeerJ Comput. Sci., 2022

Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients.

Adrianna Janik, Maria Torrente, Luca Costabello, Virginia Calvo, Brian Walsh, Carlos Camps, Sameh K. Mohamed, Ana L. Ortega, Vít Novácek, Bartomeu Massutí, Pasquale Minervini, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Ernestina Menasalvas, Mohan Timilsina, Mariano Provencio

CoRR, 2022

Deep learning to extract Breast Cancer diagnosis concepts.

Oswaldo Solarte Pabón, Maria Torrente, Alvaro Garcia-Barragán, Mariano Provencio, Ernestina Menasalvas, Victor Robles

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Subgroup Discovery Analysis of Treatment Patterns in Lung Cancer Patients.

Daniel Gómez-Bravo, Aaron García, Guillermo Vigueras, Belén Ríos-Sánchez, Belén Otero, Roberto Hernández López, María Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients.

Mohan Timilsina, Samuele Bousi, Dirk Fey, Adrianna Janik, Maria Torrente, Mariano Provencio, Alberto Bermúdez, Enric Carcereny, Luca Costabello, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Maria Guirado, Pasquale Minervini, Vít Novácek

Proceedings of the AMIA 2022, 2022

2021

Towards Treatment Patterns Validation in Lung Cancer Patients.

Arturo Redondo, Belén Ríos-Sánchez, Guillermo Vigueras, Belén Otero, Roberto Hernández López, Maria Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach.

Oswaldo Solarte Pabón, Alberto Blázquez-Herranz, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer.

Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Reconstructing the patient's natural history from electronic health records.

Marjan Najafabadipour, Massimiliano Zanin, Alejandro Rodríguez González, Maria Torrente, Beatriz Nuñez García, Juan Luis Cruz-Bermúdez, Mariano Provencio, Ernestina Menasalvas

Artif. Intell. Medicine, 2020

A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records.

Manuel Scurti, Ernestina Menasalvas Ruiz, Maria-Esther Vidal, Maria Torrente, Dimitrios Vogiatzis, George Paliouras, Mariano Provencio, Alejandro Rodríguez González

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Lung Cancer Diagnosis Extraction from Clinical Notes Written in Spanish.

Oswaldo Solarte Pabón, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas, Juan Manuel Tuñas

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019

iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine.

Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi, Anastasios Nentidis, Konstantinos Bougiatiotis, Maria-Esther Vidal, Ernestina Menasalvas, Alejandro Rodríguez González, Eleftherios Samaras, Peter Garrard, Maria Torrente, Mariano Provencio Pulla, Nikos Dimakopoulos, Rui Mauricio, Jordi Rambla De Argila, Gian Gaetano Tartaglia, George Paliouras

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018

IASIS and BigMedilytics: Towards personalized medicine in Europe.

Ernestina Menasalvas Ruiz, Alejandro Rodríguez González, Consuelo Gonzalo-Martín, Massimiliano Zanin, Juan Manuel Tuñas, Mariano Provencio, Maria Torrente, Fabio Franco, Virginia Calvo, Beatriz Nuñez

CoRR, 2018