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Citing this Article

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Published on 10.12.18 in Vol 6, No 12 (2018): December

This paper is in the following e-collection/theme issue:

Works citing "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"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.9472):

(note that this is only a small subset of citations)

  1. Cao J, Truong AL, Banu S, Shah AA, 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
  2. Lopez-Morinigo J, Ruiz-Ruano VG, Martínez ASE, Estévez MLB, Mata-Iturralde L, Muñoz-Lorenzo L, Sánchez-Alonso S, Artés-Rodríguez A, David AS, 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)
  3. Berrouiguet S, Barrigón ML, Castroman JL, 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)
  4. Barrigon ML, Courtet P, Oquendo M, Baca-García E. Precision Medicine and Suicide: an Opportunity for Digital Health. Current Psychiatry Reports 2019;21(12)
  5. 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