Antonio Artés-Rodriguez (Antonio Artés-Rodríguez, Antonio Artés)

Scopus Author ID ResearcherID Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Prognostic Factors

Machine Learning

Bipolar Disorder

Top Venues

Journal of medical Internet research

JMIR mental health

JMIR mHealth and uHealth

Computational and mathematical methods in medicine

This page only lists publications with an associated author ORCID identifier.

Publications

María Luisa Barrigón, Lorena Romero-Medrano, Pablo Moreno-Muñoz, Alejandro Albán Porras-Segovia, Jorge Lopez Castroman, Philippe Courtet, Antonio Artés-Rodriguez, Enrique Baca-Garcia
One-Week Suicide Risk Prediction Using Real-Time Smartphone Monitoring: Prospective Cohort Study. Journal of medical Internet research 25 (2023)
Emese Sükei, Lorena Romero-Medrano, Santiago de Leon-Martinez, Jesús Herrera López, Juan José Campaña-Montes, Pablo M Olmos, Enrique Baca-Garcia, Antonio Artés-Rodriguez
Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study. JMIR formative research 7 (2023)
Jorge Lopez Castroman, Diana Abad-Tortosa, Aurora Cobo Aguilera, Philippe Courtet, María Luisa Barrigón, Antonio Artés-Rodriguez, Enrique Baca-Garcia
Psychiatric Profiles of eHealth Users Evaluated Using Data Mining Techniques: Cohort Study. JMIR mental health 8 (1) (2021)
Javier-David Lopez-Morinigo, María Luisa Barrigón, Alejandro Albán Porras-Segovia, Verónica González Ruiz-Ruano, Adela Sánchez Escribano Martínez, Paula Jhoana Escobedo-Aedo, Sergio Sánchez Alonso, Laura Mata Iturralde, Laura Muñoz Lorenzo, Antonio Artés-Rodriguez, Anthony S David, Enrique Baca-Garcia
Use of Ecological Momentary Assessment Through a Passive Smartphone-Based App (eB2) by Patients With Schizophrenia: Acceptability Study. Journal of medical Internet research 23 (7) (2021)
Emese Sükei, Agnes Norbury, M Mercedes Perez-Rodriquez, Pablo M Olmos, Antonio Artés-Rodriguez
Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach. JMIR mHealth and uHealth 9 (3) (2021)
Jihan Ryu, Emese Sükei, Agnes Norbury, Shelley H Liu, Juan José Campaña-Montes, Enrique Baca-Garcia, Antonio Artés-Rodriguez, M Mercedes Perez-Rodriquez
Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning-Based Ecological Momentary Assessment Study. JMIR mental health 8 (9) (2021)
Danae Carreras-García, David Delgado-Gómez, Enrique Baca-Garcia, Antonio Artés-Rodriguez
A Probabilistic Patient Scheduling Model with Time Variable Slots. Computational and mathematical methods in medicine 2020 (2020)
Sofian Berrouiguet, David Ramírez, María Luisa Barrigón, Pablo Moreno-Muñoz, Rodrigo Carmona, Enrique Baca-Garcia, Antonio Artés-Rodriguez
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. JMIR mHealth and uHealth 6 (12) (2018)