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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 |
A proof-of-concept study of extracting patient histories for rare/intractable diseases from social media A PROOF-OF-CONCEPT STUDY OF MINING SOCIAL MEDIA TO REPOSITION DRUGS Using Social Finance to Fund Generic Drug Repurposing for Rare Diseases: A Social Impact Bond Proof of Concept Insights from Social Media on the Patient Experience of Living With Rare Eosinophil-Driven Diseases PHP33 - UNDERSTANDING THE JAPANESE POLICY INITIATIVES AND THE PATIENT CHARACTERISTICS OF RARE, INTRACTABLE DISEASES Extracting Information from Social Media with GATE Extracting Social Structures from Conversations in Twitter Social Media and the Concept of Dissidence in Zimbabwean Politics Extracting social values and group identities from social media text data Basic Study on Cybernic Interface for Neuromuscular Intractable Rare Diseases Patients Operating an Electric Wheelchair |