Text Mining of Web-Based Medical Content
Seiten
2014
De Gruyter
978-1-61451-391-9 (ISBN)
De Gruyter
978-1-61451-391-9 (ISBN)
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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.
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.
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.
Erscheint lt. Verlag | 9.10.2014 |
---|---|
Reihe/Serie | Speech Technology and Text Mining in Medicine and Health Care |
Co-Autor | Angel Bravo-Salgado, Marius Brezovan, Dumitru Dan Burdescu, Jedsada Chartree |
Verlagsort | New York |
Sprache | englisch |
Maße | 170 x 240 mm |
Themenwelt | Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft |
Mathematik / Informatik ► Informatik | |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Maschinenbau | |
Schlagworte | Medical data extraction tools, dialoging medical information, medical social media analysis, mining online medical content. |
ISBN-10 | 1-61451-391-0 / 1614513910 |
ISBN-13 | 978-1-61451-391-9 / 9781614513919 |
Zustand | Neuware |
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