Publications 2021-2030
PUBLICATIONS 2023
AI for Medicine and Helthcare
| 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 |
| 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 |
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. |