Our essence is innovation and research. We strongly believe in improving patient care through technology and research, particularly in the areas of human behavior and artificial intelligence applied to mental health.
One-Week Suicide Risk Prediction Using Real-Time Smartphone Monitoring: Prospective Cohort Study
Barrigon, M. L., Romero-Medrano, L., Moreno-Muñoz, P., Porras-Segovia, A., Lopez-Castroman, J., Courtet, P., Artés-Rodríguez, A. & Baca-Garcia, E. (2023).
J. Méd. Internet Res. 25, e43719. https://doi.org/10.2196/43719
Automatic patient functionality assessment from multimodal data using deep learning techniques – Development and feasibility evaluation
Sükei, E., Leon-Martinez, S. de, Olmos, P. M. & Artés, A. (2023).
Internet Interv. 100657 (2023). https://doi.org/10.1016/j.invent.2023.100657
Multi-Source Change-Point Detection over Local Observation Models
Romero-Medrano, L. & Artés-Rodríguez, A. (2022).
Pattern Recogn 109116. https://doi.org/10.1016/j.patcog.2022.109116
Medical Data Wrangling With Sequential Variational Autoencoders
Barrejón, D., Olmos, P. M., & Artés-Rodríguez, A. (2022).
IEEE Journal of Biomedical and Health Informatics, 26(6), 2737–2745. https://doi.org/10.1109/jbhi.2021.3123839
Real-world feasibility and acceptability of real-time suicide risk monitoring via smartphones: A 6-month follow-up cohort
Porras-Segovia, A., Díaz-Oliván, I., Barrigón, M. L., Moreno, M., Artés-Rodríguez, A., Pérez-Rodríguez, M. M., & Baca-García, E. (2022).
Journal of Psychiatric Research. https://doi.org/10.1016/j.jpsychires.2022.02.026
Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study
Ryu, J., Sükei, E., Norbury, A., Liu, S.H, Campaña-Montes, J.J., Baca-Garcia, E., Artés, A., Perez-Rodriguez, M.M. (2021).
JMIR Mental Health. https://doi.org/10.2196/30833
Use of Ecological Momentary Assessment Through a Passive Smartphone-Based App (eB2) by Patients With Schizophrenia: Acceptability Study
Lopez-Morinigo, J.-D., Barrigón, M. L., Porras-Segovia, A., Ruiz-Ruano, V. G., Martínez, A. S. E., Escobedo-Aedo, P. J., Alonso, S. S., Iturralde, L. M., Lorenzo, L. M., Artés-Rodríguez, A., David, A. S., & Baca-García, E. (2021).
Journal of Medical Internet Research, 23(7), e26548. https://doi.org/10.2196/26548
Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach
Sükei, E., Norbury, A., Perez-Rodriguez, M. M., Olmos, P. M., Artés, A. (2021).
JMIR Mhealth Uhealth. https://doi.org/10.2196/24465
Use of Ecological Momentary Assessment Through a Passive Smartphone-Based App (eB2) by Patients With Schizophrenia: Acceptability Study
Lopez-Morinigo, J.-D., Barrigón, M. L., Porras-Segovia, A., Ruiz-Ruano, V. G., Martínez, A. S. E., Escobedo-Aedo, P. J., Alonso, S. S., Iturralde, L. M., Lorenzo, L. M., Artés-Rodríguez, A., David, A. S., & Baca-García, E. (2021).
Journal of Medical Internet Research, 23(7), e26548. https://doi.org/10.2196/26548
Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients
Norbury, A., Liu, S.H., Campaña-Montes, J.J., Romero-Medrano, L., Barrigón, M.L., Smith, E., Artés, A., Baca-García, E., Pérez-Rodríguez, M.M. (2020).
Mol Psychiatry. https://doi.org/10.1038/s41380-020-00963-5
Ecological Momentary Assessment for Monitoring Risk of Suicide Behavior
Carretero, P., Campaña-Montes, J., Artés-Rodríguez, A.
Smartphone-based ecological momentary assessment (EMA) in psychiatric patients and student controls: A real-world feasibility study
Porras-Segovia, A., Molina-Madueño, R., Berrouiguet, S., López-Castroman, J., Barrigón, M., Pérez-Rodríguez, M., Marco, J., Díaz-Oliván, I., León, S., Courtet, P., Artés-Rodríguez, A., Baca-García, E. (2020).
Journal of Affective Disorders. https://dx.doi.org/10.1016/j.jad.2020.05.067
Multinomial Sampling for Hierarchical Change-Point Detection
Romero-Medrano, L., Moreno-Muñoz, P., Artés-Rodríguez, A. (2020).
2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) 00(), 1-6. https://dx.doi.org/10.1109/mlsp49062.2020.9231616
Study protocol of a randomised clinical trial testing whether metacognitive training can improve insight and clinical outcomes in schizophrenia
Lopez-Morinigo, J., Ruiz-Ruano, V., Martínez, A., Estévez, M., Mata-Iturralde, L., Muñoz-Lorenzo, L., Sánchez-Alonso, S., Artés-Rodríguez, A., David, A., Baca-García, E. (2020).
BMC Psychiatry 20(1), 30. https://dx.doi.org/10.1186/s12888-020-2431-x
Continual Learning for Infinite Hierarchical Change-Point Detection
Moreno-Muñoz, P., Ramírez, D., Artés-Rodríguez, A. (2019).
Assessment of e-Social Activity in Psychiatric Patients
Bonilla-Escribano, P., Ramirez, D., Sedano-Capdevila, A., Campana-Montes, J., Baca-Garcia, E., Courtet, P., Artes-Rodriguez, A. (2019).
IEEE Journal of Biomedical and Health Informatics 23(6), 1-1. https://dx.doi.org/10.1109/jbhi.2019.2918687
Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol
Berrouiguet, S., Barrigón, M., Castroman, J., Courtet, P., Artés-Rodríguez, A., Baca-Garcia, E. (2019).
BMC Psychiatry 19(1), 570. https://dx.doi.org/10.1186/s12888-019-2260-y
Combining Continuous Smartphone Native Sensors Data Capture and Unsupervised Data Mining Techniques for Behavioral Changes Detection: A Case Series of the Evidence-Based Behavior (eB2) Study
Berrouiguet, S., Ramírez, D., Barrigón, M., Moreno-Muñoz, P., Camacho, R., Baca-Garcia, E., Artés-Rodríguez, A. (2018).
JMIR mHealth and uHealth 6(12), e197. https://dx.doi.org/10.2196/mhealth.9472
Machine learning and data mining: strategies for hypothesis generation
Oquendo, M., Baca-Garcia, E., Artés-Rodríguez, A., Pérez-Cruz, F., Galfalvy, H., Blasco-Fontecilla, H., Madigan, D., Duan, N. (2012).
Molecular Psychiatry 17(10), 956 – 959. https://dx.doi.org/10.1038/mp.2011.173
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