Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17642, first published .
Using Natural Language Processing Techniques to Provide Personalized Educational Materials for Chronic Disease Patients in China: Development and Assessment of a Knowledge-Based Health Recommender System

Using Natural Language Processing Techniques to Provide Personalized Educational Materials for Chronic Disease Patients in China: Development and Assessment of a Knowledge-Based Health Recommender System

Using Natural Language Processing Techniques to Provide Personalized Educational Materials for Chronic Disease Patients in China: Development and Assessment of a Knowledge-Based Health Recommender System

RT @Emre_szg: A good implementation of NLP based personalized education content recommendations for chronically ill patients @jmirpub http…

6:33 PM · Apr 23, 2020

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#NLP "Using Natural Language Processing Techniques to Provide Personalized Educational Materials for Chronic Diseas… https://t.co/yLk5Gc1wRw

10:02 AM · Apr 24, 2020

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RT @Emre_szg: A good implementation of NLP based personalized education content recommendations for chronically ill patients @jmirpub http…

4:24 AM · Dec 27, 2020

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RT @Emre_szg: A good implementation of NLP based personalized education content recommendations for chronically ill patients @jmirpub http…

4:24 AM · Dec 27, 2020

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RT @Emre_szg: A good implementation of NLP based personalized education content recommendations for chronically ill patients @jmirpub http…

4:24 AM · Dec 27, 2020

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RT @Emre_szg: A good implementation of NLP based personalized education content recommendations for chronically ill patients @jmirpub http…

10:41 PM · Dec 27, 2020

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RT @Emre_szg: A good implementation of NLP based personalized education content recommendations for chronically ill patients @jmirpub http…

10:41 PM · Dec 27, 2020

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Interesting approach for improving patient outcome, would be great solution within a PRM platform https://t.co/vLDtRzzWVK

6:22 PM · Jan 28, 2021

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