CrossRef Text and Data Mining
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A proof-of-concept study of extracting patient histories for rare/intractable diseases from social media
Atsuko Yamaguchi, Núria Queralt-Rosinach
Genomics Inform. 2020;18(2):e17  Published online June 18, 2020
DOI: https://doi.org/10.5808/GI.2020.18.2.e17

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A proof-of-concept study of extracting patient histories for rare/intractable diseases from social media
Genomics & Informatics. 2020;18(2):e17   Crossref logo
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A PROOF-OF-CONCEPT STUDY OF MINING SOCIAL MEDIA TO REPOSITION DRUGS
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Using Social Finance to Fund Generic Drug Repurposing for Rare Diseases: A Social Impact Bond Proof of Concept
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PHP33 - UNDERSTANDING THE JAPANESE POLICY INITIATIVES AND THE PATIENT CHARACTERISTICS OF RARE, INTRACTABLE DISEASES
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Extracting Information from Social Media with GATE
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Social Media and the Concept of Dissidence in Zimbabwean Politics
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Extracting Social Structures from Conversations in Twitter
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Media Logic Revisited. The Concept of Social Media Logic as Alternative Framework to Study Politicians’ Usage of Social Media During Election Times
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The Powers of the Pokémon: Histories of Television, Histories of the Concept of Power
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Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions
Neural Computing and Applications. 2021;   Crossref logo
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