Son Doan

ORCID iD
https://orcid.org/0000-0002-7284-1306
  • Country
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United States

Sources:
Son Doan (2016-01-24)

  • Keywords
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clinical natural language processing

Sources:
Son Doan (2015-05-31)

  • Websites
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https://sites.google.com/site/sondoan/

Sources:
Son Doan (2015-05-31)

  • Other IDs
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Scopus Author ID: 8703428600

Sources:
Scopus - Elsevier (2015-05-31)

ResearcherID: F-8266-2015

Sources:
ResearcherID (2015-05-31)

Biography

My main interest is building real-life biomedical text applications for better healthcare. My background are natural language processing (NLP) and machine learning. I obtained PhD degree from Japan Advanced Institute of Science and Technology (JAIST), Japan in 2005 in computer science. I joined Kaiser Permanente Southern California since October 2015. Prior to that, I researched at National Institute of Informatics (Japan), Vanderbilt University, and DBMI, UC San Diego. I had been working on public mood tracking on Twitter data. Several our research results was mentioned to public, e.g., research on social media in epidemic intelligence (Nature), or the research on public mood tracking in 2011 Tohoku earthquake in Japan (New Scientist, CorpComm).
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