IEEE - Institute of Electrical and Electronics Engineers, Inc. - Deep Sequential Models for Suicidal Ideation From Multiple Source Data

Author(s): Ignacio Peis ; Pablo M. Olmos ; Constanza Vera-Varela ; Maria Luisa Barrigon ; Philippe Courtet ; Enrique Baca-Garcia ; Antonio Artes-Rodriguez
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 November 2019
Volume: 23
Page(s): 2,286 - 2,293
ISSN (Electronic): 2168-2208
ISSN (Paper): 2168-2194
DOI: 10.1109/JBHI.2019.2919270
Regular:

This paper presents a novel method for predicting suicidal ideation from electronic health records (EHR) and ecological momentary assessment (EMA) data using deep sequential models. Both EHR... View More

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