| Literature DB >> 32797403 |
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