Literature DB >> 32797403

Ecological Momentary Assessment for Monitoring Risk of Suicide Behavior.

Patricia Carretero1, Juan Jose Campana-Montes1, Antonio Artes-Rodriguez2,3.   

Abstract

In recent years the involvement of technology in psychiatric treatment and its usefulness is increasing. The main advantages of its use lie in the possibility of collecting passively data with greater temporal granularity from each patient individually, since these devices are in direct contact almost every minute of the day with them. The variety of data collected by the all the smartphone sensors allows for a better understanding of the patient behavior through what is called the digital phenotype. So the use of a continuous monitoring system for patients at risk of suicide becomes a very useful tool for improving the quality of life of patients and for the early detection of suicide attempts.

Entities:  

Keywords:  Big data; Digital footprint; Digital phenotype; Ecological momentary assessment; Machine learning; Mobile health; Suicidal risk; Wearable devices; e-Health

Year:  2020        PMID: 32797403     DOI: 10.1007/7854_2020_170

Source DB:  PubMed          Journal:  Curr Top Behav Neurosci        ISSN: 1866-3370


  27 in total

1.  Feasibility and validity of ecological momentary assessment in the investigation of suicide risk.

Authors:  Mathilde Husky; Emilie Olié; Sébastien Guillaume; Catherine Genty; Joel Swendsen; Philippe Courtet
Journal:  Psychiatry Res       Date:  2014-08-15       Impact factor: 3.222

Review 2.  Can sports events affect suicidal behavior? A review of the literature and implications for prevention.

Authors:  Karl Andriessen; Karolina Krysinska
Journal:  Crisis       Date:  2009

3.  Clinical rating scales in suicide risk assessment.

Authors:  K A Cochrane-Brink; J S Lofchy; I Sakinofsky
Journal:  Gen Hosp Psychiatry       Date:  2000 Nov-Dec       Impact factor: 3.238

4.  Automatic detection of social rhythms in bipolar disorder.

Authors:  Saeed Abdullah; Mark Matthews; Ellen Frank; Gavin Doherty; Geri Gay; Tanzeem Choudhury
Journal:  J Am Med Inform Assoc       Date:  2016-03-14       Impact factor: 4.497

5.  Sleep disorders and suicidal ideation in patients with depressive disorder.

Authors:  Sarah Laxhmi Chellappa; John Fontenele Araújo
Journal:  Psychiatry Res       Date:  2007-07-20       Impact factor: 3.222

6.  Non-linear complexity measures of heart rate variability in acute schizophrenia.

Authors:  Karl-Jürgen Bär; Michael Karl Boettger; Mandy Koschke; Steffen Schulz; Pratap Chokka; Vikram K Yeragani; Andreas Voss
Journal:  Clin Neurophysiol       Date:  2007-07-23       Impact factor: 3.708

7.  Development of a Web-Based Clinical Decision Support System for Drug Prescription: Non-Interventional Naturalistic Description of the Antipsychotic Prescription Patterns in 4345 Outpatients and Future Applications.

Authors:  Sofian Berrouiguet; Maria Luisa Barrigón; Sara A Brandt; Santiago Ovejero-García; Raquel Álvarez-García; Juan Jose Carballo; Philippe Lenca; Philippe Courtet; Enrique Baca-García
Journal:  PLoS One       Date:  2016-10-20       Impact factor: 3.240

8.  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.

Authors:  Sofian Berrouiguet; David Ramírez; María Luisa Barrigón; Pablo Moreno-Muñoz; Rodrigo Carmona Camacho; Enrique Baca-García; Antonio Artés-Rodríguez
Journal:  JMIR Mhealth Uhealth       Date:  2018-12-10       Impact factor: 4.773

9.  Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data.

Authors:  Afsaneh Doryab; Daniella K Villalba; Prerna Chikersal; Janine M Dutcher; Michael Tumminia; Xinwen Liu; Sheldon Cohen; Kasey Creswell; Jennifer Mankoff; John D Creswell; Anind K Dey
Journal:  JMIR Mhealth Uhealth       Date:  2019-07-24       Impact factor: 4.773

10.  Combining brief contact interventions (BCI) into a decision-making algorithm to reduce suicide reattempt: the VigilanS study protocol.

Authors:  Stéphane Duhem; Sofian Berrouiguet; Christophe Debien; François Ducrocq; Anne Laure Demarty; Antoine Messiah; Philippe Courtet; Louis Jehel; Pierre Thomas; Dominique Deplanque; Thierry Danel; Michel Walter; Charles-Edouard Notredame; Guillaume Vaiva
Journal:  BMJ Open       Date:  2018-10-23       Impact factor: 2.692

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  1 in total

1.  Ecological Momentary Assessment: A Systematic Review of Validity Research.

Authors:  Lesleigh Stinson; Yunchao Liu; Jesse Dallery
Journal:  Perspect Behav Sci       Date:  2022-05-06
  1 in total

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