Deep Sequential Models for Suicidal Ideation From Multiple Source Data

Overview of attention for article published in IEEE Journal of Biomedical and Health Informatics, May 2019

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In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (86th percentile)
High Attention Score compared to outputs of the same age and source (85th percentile)

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news: 1 news outlet

twitter: 11 X users

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mendeley: 66 Mendeley

So far, Altmetric has seen 12 X posts from 11 X users, with an upper bound of 54,498 followers.

RT @arxiv_org: Deep Sequential Models for Suicidal Ideation from Multiple Source Data. https://t.co/4CXTmwdnVq https://t.co/EkrA1Lo9Mf

RT @mauro_iker: Predicting suicidal ideation from Electronic Health Records with #ArtificialIntelligence #MachineLearning #ML #EHR #health…

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