Publications 2021-2030

PUBLICATIONS 2023

AI for mental health

David Ramírez, Cristina Lombardía, Cristian Toribio, Inés Andreu, Anaïs Montserrat, Evgenia Baykova, Domènec Serrano, Óscar Raya, Beatriz López, Xavier Castells: Could ChatGPT compete with clinical practice guidelines in formulating useful treatment recommendations for attention deficit hyperactivity disorder? 36th European College of Neuropsychopharmacology (ENCP) Congress, Barcelona, Spain, October 7-10th, 2023.Accepted
David Ramírez, Oscar Raya, Evgenia Baykova, Ines Andreu, Begoña Gonzalvo, David Rigau, Ruth Cunill, Sandra Gelabert, Domènec Serrano, Beatriz López, Xavier Castells: Experiència del pacient en la presa de decisions terapèutiques compartides en el trastorn per de deficit d’atenció i hiperactivitat (TDAH). 8th XPatient Barcelona Congress, Barcelona, September 21st, 2023.Accepted
Oscar Raya, Xavier Castells, David Ramírez, Beatriz López: Patients and clinicians preferences together in the loop for ADHD treatment recommendations. Modelling decisions for AI (MDAI), Umea, Sweden, June 19-22, 2023.
Oscar Raya, Xavier Castells, David Ramírez, Beatriz López: Management of patient and physician preferences and explanations for participatory evaluation of treatment with an ethical seal. AI in Medicine (AIME), Portoroz, Slovenia, June 12-15, 2023.
Beatriz López, Oscar Raya, Evgenia Baykova, Marc Saez, David Rigau, Ruth Cunill, Sacramento Mayoral, Carme Carrion, Domènec Serrano, Xavier Castells: APPRAISE-RS: Automated, updated, participatory, and personalized treatment recommender systems based on GRADE methodology, Heliyon, Volume 9, Issue 2, February 2023, e13074. Accepted January 2023

AI for Medicine and Helthcare

Alihuén García-Pavioni, Beatriz López: Dimensionality reduction and features visual representation based on conditional probabilities applied to activity classification. Computers in Biology and Medicine Accepted October 2023
Guillem Hernández-Guillamet, Beatriz López, Oriol Estrada, Francesc López-Seguí. Hipertension visits demand forecasting using cross-correlation and lagged multiple linear regression models. A case study for anticipating health resources needs. 25th International Conference of the Catalan Association for Artificial Intelligence (CCIA),Món Sant Benet, Catalonia, October 25-27, 2023. Accepted. To be published by IOS Press. 10 pages.
Guillem Hernández-Guillamet, Francesc López-Seguí, Josep Vidal-Alaball, Beatriz López: CauRuler: Causal Irredundant Association Rule Miner for Complex Patient Trajectory Modelling. Computers in Biology and Medicine Accepted February 2023

AI for social good

Beatriz López, Roger Capdepedrós, Albert Sabater. Sequence pattern mining for citizens behaviour learning in fair-purpose social games. Some preliminary results. 25th International Conference of the Catalan Association for Artificial Intelligence (CCIA),Món Sant Benet, Catalonia, October 25-27, 2023. Accepted. To be published by IOS Press. 10 pages.

Other

Beatriz López. Robots and intelligent systems are revolutionising medicine. Barcelona Metropolis, num. 127, July 2023.

PUBLICATIONS 2022

Longitudinal data (time series) machine learning

Natalia Mordvanyuk, Albert Bifet, Beatriz López: VEPRECO: Vertical Databases with Pre-pruning Strategies and Common Candidate Selection Policies to Fasten Sequential Pattern Mining, Expert Systems with Applications. Accepted May2022
Natalia Mordvanyuk, Beatriz López, Albert Bifet: TA4L: Efficient Temporal Abstraction of Multivariate Time Series, Knowledge-Based Systems. Volume 244, 23 May 2022, 108554
Alihuén Garcia, Beatriz López: A New Method of Dimensionality Reduction for Large Time Series Applied to Accelerometer Wristbands’ Signals, Biosignals 2022. Accepted November 2021


AI for Medicine and Helthcare

Beatriz López, Ferran Torrent-Fontbona, Luis Masana, Alberto Zamora: HTE 3.0: Knowledge-based systems in cascade for familial hypercholesterolemia detection and dyslipidemia treatment, Expert Systems. Volume 39, Issue 1, January 2022. Accepted August 2021
Xavier Castells, Marc Saez, Maghie Barcheni, Ruth Cunill, Domènec Serrano, Beatriz López, Caspar van Lissa: Placebo response and its predictors in attention deficit hyperactivity disorder: a meta-analysis and comparison of meta-regression and metaforest, The International Journal of Neuropsychopharmacology, 2022 Jan 12;25(1):26-35. Accepted August 2021
Castells X, Baykova E, Raya O, Serrano D, Mayoral S, Cunill R, Saez M, Carrion C, Rigau D, López B.: Comparison of treatment recommendations formulated by APPRAISE-RS/TDApp, a prototype of automated, personalized, participatory recommender system, and clinical practice guidelines in a sample of simulated ADHD patients, XL Congreso de la sociedad espanyola de farmacologia clínica, 2022. Poster. Published in Basic Clin Pharma Tox – 2022
Villar, J., Yera, A., López B.: Computational-based biomarkers for mental and emotional health, Neural Comput & Applic, 2022. Editorial

PUBLICATIONS 2021

Longitudinal data (time series) machine learning

Natalia Mordvanyuk, Beatriz López, Albert Bifet: vertTIRP: Robust and Efficient Vertical Frequent Time Interval-related Pattern Mining, Expert Systems with Applications, Volume 168, 15 April 2021, 114-276. Accepted November 2020


AI for Medicine and Helthcare

Beatriz López, Pau Olives, Luis Masana, Fernando Civeira, Alberto Zamora: Predicting the risk of coronary heart disease under Familial Hypercholesterolemia by machine learning, 44th World Hospital Congress of the International Hospital Federation (IHF), Barcelona, November 8-11, 2021. Accepted. Poster
Parizad Avari, Yenny Leal, Pau Herrero, Marzena Wos, Narvada Jugnee, María Arnoriaga-Rodríguez, Maria Thomas, Chengyuan Liu, Quim Massana, Beatriz Lopez, Lucian Nita, Clare Martin, José Manuel Fernández-Real, Nick Oliver, Mercè Fernández-Balsells, Monika Reddy: Safety and feasibility of the PEPPER adaptive bolus advisor and safety system; a randomized control study, Diabetes Technology and Therapeutics, 23(3), 175–186, 2021. Accepted September 2020
Joaquim Massana, Òscar Raya, Jaume Gauchola, Beatriz López: Signaleeg. A practical tool for EEG signal data mining, Neuroinformatics, Neuroinformatics volume 19, pages 567–583 (2021). Accepted December 2020
Joaquim Massana, Òscar Raya, Jaume Gauchola, Beatriz López: Signaleeg. A practical tool for EEG signal data mining, II Workshop of Spanish A.I. Research Groups in Biomedicine (IABiomed), Malaga, September 22-24, 2021. Extended abstract
Natàlia Mordvanyuk, Jaume Gauchola, Beatriz López: Understanding affective behaviour from physiological signals: Feature learning versus pattern mining, IEEE Computer-Based Medical Systems (CBMS), Special Track on Computational based Biomarkers for Mental and Emotional Health (IEEE CBMS-CBMEH), June, 7-9, On-line. Best student paper.
Daniel Lambisto-Castro, Joan Passarrius, Natàlia Mordvanyuk, Joaquim Massana, Beatriz López: Machine Learning and statistical analysis: correlation between 2%‐2mm gamma test and various metrics of analysis of the complexity of the treatment plan, 7 Congreso Conjunto (23 SEFM – SEPR 18), May 31 – June 4, On-line. Poster (In Spanish).


AI for social good

Albert Sabater, Cristina Sánchez, Beatriz López: Co-Creating Artificial Intelligence for Social Provision: An Example of Cross-Sector Collaborations through the AI FORA Project, 15th ESA Conference 2021, 31 Aug – 3 Sep, Barcelona.


Other

Beatriz López: Entrevista a Josep Pascual, Revista de tecnologia, 9, 71-73, 2021.

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