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2020 – today
- 2024
[j8]Samuele Buosi
, Mohan Timilsina, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek:
Boosting predictive models and augmenting patient data with relevant genomic and pathway information. Comput. Biol. Medicine 174: 108398 (2024)- [j7]Samuele Buosi, Mohan Timilsina, Adrianna Janik, Luca Costabello, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek:
Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings. Expert Syst. Appl. 235: 121127 (2024) - [i3]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:
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine. CoRR abs/2407.06748 (2024) - 2023
- [j6]Oswaldo Solarte Pabón, Orlando Montenegro, Alvaro Garcia-Barragán, Maria Torrente, Mariano Provencio, Ernestina Menasalvas, Víctor Robles:
Transformers for extracting breast cancer information from Spanish clinical narratives. Artif. Intell. Medicine 143: 102625 (2023) - [j5]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:
Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer. J. Biomed. Informatics 144: 104424 (2023) - [j4]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:
Knowledge graphs for enhancing transparency in health data ecosystems. Semantic Web 14(5): 943-976 (2023) - [c14]Alvaro Garcia-Barragán, Oswaldo Solarte Pabón, Georgiy Nedostup, Mariano Provencio, Ernestina Menasalvas, Victor Robles:
Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning. CBMS 2023: 404-409 - [c13]Daniel Gómez-Bravo, Aaron García, Guillermo Vigueras, Belén Ríos-Sánchez, Alejandra Pérez-García, Vanessa Ospina, María Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González:
Clustering-based Pattern Discovery in Lung Cancer Treatments. CBMS 2023: 694-699 - [c12]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:
Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. IJCNN 2023: 1-8 - 2022
- [j3]Oswaldo Solarte Pabón, Orlando Montenegro, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas:
Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach. PeerJ Comput. Sci. 8: e913 (2022) - [c11]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:
Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. AMIA 2022 - [c10]Daniel Gómez-Bravo, Aaron García, Guillermo Vigueras, Belén Ríos-Sánchez, Belén Otero, Roberto Hernández López, María Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González:
Subgroup Discovery Analysis of Treatment Patterns in Lung Cancer Patients. CBMS 2022: 1-7 - [c9]Oswaldo Solarte Pabón, Maria Torrente, Alvaro Garcia-Barragán, Mariano Provencio, Ernestina Menasalvas, Victor Robles:
Deep learning to extract Breast Cancer diagnosis concepts. CBMS 2022: 13-18 - [i2]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:
Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients. CoRR abs/2211.09856 (2022) - 2021
- [c8]Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini:
On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. AMIA 2021 - [c7]Oswaldo Solarte Pabón, Alberto Blázquez-Herranz, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas:
Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach. DSAA 2021: 1-6 - [c6]Arturo Redondo, Belén Ríos-Sánchez, Guillermo Vigueras, Belén Otero, Roberto Hernández López, Maria Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González:
Towards Treatment Patterns Validation in Lung Cancer Patients. DSAA 2021: 1-8 - 2020
- [j2]Marjan Najafabadipour, Massimiliano Zanin, Alejandro Rodríguez González, Maria Torrente, Beatriz Nuñez García, Juan Luis Cruz-Bermúdez, Mariano Provencio, Ernestina Menasalvas:
Reconstructing the patient's natural history from electronic health records. Artif. Intell. Medicine 105: 101860 (2020) - [c5]Manuel Scurti, Ernestina Menasalvas Ruiz, Maria-Esther Vidal, Maria Torrente, Dimitrios Vogiatzis, George Paliouras, Mariano Provencio, Alejandro Rodríguez González:
A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records. CBMS 2020: 193-196 - [c4]Oswaldo Solarte Pabón, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas, Juan Manuel Tuñas:
Lung Cancer Diagnosis Extraction from Clinical Notes Written in Spanish. CBMS 2020: 492-497
2010 – 2019
- 2019
- [c3]Marjan Najafabadipour, Massimiliano Zanin, Alejandro Rodríguez González, Consuelo Gonzalo-Martín, Beatriz Nuñez García, Virginia Calvo, Juan Luis Cruz-Bermúdez, Mariano Provencio, Ernestina Menasalvas:
Recognition of Time Expressions in Spanish Electronic Health Records. CBMS 2019: 69-74 - [c2]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:
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine. CBMS 2019: 106-111 - 2018
- [j1]Ernestina Menasalvas Ruiz, Juan Manuel Tuñas, Guzmán Bermejo, Consuelo Gonzalo-Martín, Alejandro Rodríguez González, Massimiliano Zanin, Cristina Gonzalez de Pedro, Marta Mendez, Olga Zaretskaia, Jesús Rey, Consuelo Parejo, Juan Luis Cruz-Bermúdez, Mariano Provencio:
Profiling Lung Cancer Patients Using Electronic Health Records. J. Medical Syst. 42(7): 126:1-126:10 (2018) - [i1]Ernestina Menasalvas Ruiz, Alejandro Rodríguez González, Consuelo Gonzalo-Martín, Massimiliano Zanin, Juan Manuel Tuñas, Mariano Provencio, Maria Torrente, Fabio Franco, Virginia Calvo, Beatriz Nuñez:
IASIS and BigMedilytics: Towards personalized medicine in Europe. CoRR abs/1809.07784 (2018) - 2017
- [c1]Ernestina Menasalvas Ruiz, Consuelo Gonzalo, Juan Manuel Tuñas, Alejandro Rodríguez González, Mariano Provencio, Cristina Gonzalez de Pedro, Marta Mendez, Olga Zaretskaia, Juan Luis Cruz, Jesús Rey, Consuelo Parejo:
OncoCall: Analyzing the Outcomes of the Oncology Telephone Patient Assistance. CBMS 2017: 624-629
Coauthor Index
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