most citedDeep Sequential Models for Suicidal Ideation from Multiple Source Data

23 citations · 23 across the 1 of their papers we have counts for

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1 paper

cs.LG2019★ 23 cited

Deep Sequential Models for Suicidal Ideation from Multiple Source Data

Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela +4

This article presents a novel method for predicting suicidal ideation from Electronic Health Records (EHR) and Ecological Momentary Assessment (EMA) data using deep sequential mode…