Published on in Vol 6, No 12 (2018): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9472, first published .
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

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

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

Journals

  1. Sultana M, Al-Jefri M, Lee J. Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study. JMIR mHealth and uHealth 2020;8(9):e17818 View
  2. Berrouiguet S, Barrigón M, Castroman J, Courtet P, Artés-Rodríguez A, Baca-García E. Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol. BMC Psychiatry 2019;19(1) View
  3. 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. Study protocol of a randomised clinical trial testing whether metacognitive training can improve insight and clinical outcomes in schizophrenia. BMC Psychiatry 2020;20(1) View
  4. Rodríguez-Blanco L, Carballo J, de León S, Baca-García E. User profiles of electronic ecological momentary assessment in outpatient child and adolescent mental health services. Revista de Psiquiatría y Salud Mental 2020 View
  5. Molina R, Porras-Segovia A, Ruiz M, Baca-García E. eHealth tools for assessing psychomotor activity in schizophrenia: a systematic review. Brazilian Journal of Psychiatry 2021;43(1):102 View
  6. Cao J, Truong A, Banu S, Shah A, Sabharwal A, Moukaddam N. Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study. JMIR Mental Health 2020;7(1):e14045 View
  7. Porras-Segovia A, Molina-Madueño R, Berrouiguet S, López-Castroman J, Barrigón M, Pérez-Rodríguez M, Marco J, Díaz-Oliván I, de León S, Courtet P, Artés-Rodríguez A, Baca-García E. Smartphone-based ecological momentary assessment (EMA) in psychiatric patients and student controls: A real-world feasibility study. Journal of Affective Disorders 2020;274:733 View
  8. Morgiève M, Genty C, Azé J, Dubois J, Leboyer M, Vaiva G, Berrouiguet S, Courtet P. A digital companion for ecological momentary assessment and prevention of suicide: A case series on the use of the emma app (Preprint). JMIR mHealth and uHealth 2019 View
  9. Barrigon M, Courtet P, Oquendo M, Baca-García E. Precision Medicine and Suicide: an Opportunity for Digital Health. Current Psychiatry Reports 2019;21(12) View
  10. Piau A, Wild K, Mattek N, Kaye J. Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review. Journal of Medical Internet Research 2019;21(8):e12785 View
  11. Norbury A, Liu S, Campaña-Montes J, Romero-Medrano L, Barrigón M, Smith E, Artés-Rodríguez A, Baca-García E, Perez-Rodriguez M. Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients. Molecular Psychiatry 2020 View
  12. Moreno-Muñoz P, Ramírez D, Artés-Rodríguez A. Change-point detection in hierarchical circadian models. Pattern Recognition 2021;113:107820 View
  13. Sükei E, Norbury A, Perez-Rodriguez M, Olmos P, Artés A. Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach. JMIR mHealth and uHealth 2021;9(3):e24465 View
  14. Jagesar R, Vorstman J, Kas M. Requirements and Operational Guidelines for Secure and Sustainable Digital Phenotyping: Design and Development Study. Journal of Medical Internet Research 2021;23(4):e20996 View
  15. Lopez-Morinigo J, Barrigón M, Porras-Segovia A, Ruiz-Ruano V, Escribano Martínez A, Escobedo-Aedo P, Sánchez Alonso S, Mata Iturralde L, Muñoz Lorenzo L, Artés-Rodríguez A, David A, Baca-García E. Can we use Ecological Momentary Assessment for real-world patients with schizophrenia? A study of acceptability of the passive smartphone-based app Evidence-Based Behavior (eB2). (Preprint). Journal of Medical Internet Research 2020 View
  16. Tonti S, Marzolini B, Bulgheroni M. Smartphone-Based Passive Sensing for Behavioral and Physical Monitoring in Free-Life Conditions: Technical Usability Study. JMIR Biomedical Engineering 2021;6(2):e15417 View

Books/Policy Documents

  1. Carretero P, Campana-Montes J, Artes-Rodriguez A. Behavioral Neurobiology of Suicide and Self Harm. View