Predicting opioid dependence from electronic health records with machine learning

Overview of attention for article published in BioData Mining, January 2019

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In the top 25% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#44 of 310)
High Attention Score compared to outputs of the same age (87th percentile)
High Attention Score compared to outputs of the same age and source (87th percentile)

So far, Altmetric has seen 12 X posts from 10 X users, with an upper bound of 38,706 followers.

@fchollet @jeremyphoward Opioid addiction/overdose prediction, along with understanding related clinical factors https://t.co/C5CNYtO55m

RT @sarahcollins198: Predicting opioid dependence from electronic health records with machine learning https://t.co/ZN1I0apbfV

RT @MaayanLab: Predicting opioid dependence from electronic health records with machine learning https://t.co/0W6DpnDqbg

RT @MaayanLab: Predicting opioid dependence from electronic health records with machine learning https://t.co/0W6DpnDqbg

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