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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Insights from Social Media on the Patient Experience of Living With Rare Eosinophil-Driven Diseases
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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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Extracting Social Structures from Conversations in Twitter
Proceedings of the 27th ACM Conference on Hypertext and Social Media. 2016;   Crossref logo
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Social Media and the Concept of Dissidence in Zimbabwean Politics
The History and Political Transition of Zimbabwe. 2020;221-243   Crossref logo
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Extracting social values and group identities from social media text data
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Basic Study on Cybernic Interface for Neuromuscular Intractable Rare Diseases Patients Operating an Electric Wheelchair
2019 IEEE/SICE International Symposium on System Integration (SII). 2019;   Crossref logo
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