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Text Mining of Web-Based Medical Content [Multiple-component retail product]

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  • Formāts: Multiple-component retail product, 284 pages, height x width: 240x170 mm, Contains 1 Book and 1 Digital (delivered electronically)
  • Sērija : Speech Technology and Text Mining in Medicine and Health Care
  • Izdošanas datums: 09-Oct-2014
  • Izdevniecība: De Gruyter
  • ISBN-10: 1614513910
  • ISBN-13: 9781614513919
Citas grāmatas par šo tēmu:
  • Multiple-component retail product
  • Cena: 126,67 €*
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  • Formāts: Multiple-component retail product, 284 pages, height x width: 240x170 mm, Contains 1 Book and 1 Digital (delivered electronically)
  • Sērija : Speech Technology and Text Mining in Medicine and Health Care
  • Izdošanas datums: 09-Oct-2014
  • Izdevniecība: De Gruyter
  • ISBN-10: 1614513910
  • ISBN-13: 9781614513919
Citas grāmatas par šo tēmu:
Text Mining of Web-Based Medical Content examines web mining for extracting useful information that can be used for treating and monitoring the healthcare of patients. This work provides methodological approaches to designing mapping tools that exploit data found in social media postings. Specific linguistic features of medical postings are analyzed vis-a-vis available data extraction tools for culling useful information.
Amy Neustein, Founder and CTO, Linguistic Technology Systems, Fort Lee, NJ, USA.