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A novel data-mining...
A novel data-mining approach leveraging social media to monitor and respond to outcomes of diabetes drugs and treatment
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- Akay, Altug (författare)
- KTH,Systemsäkerhet och organisation
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- Dragomir, A. (författare)
- Department of Biomedical Engineering, University of Houston, Houston, TX, US
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- Erlandsson, Björn-Erik (författare)
- KTH,Systemsäkerhet och organisation
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(creator_code:org_t)
- New York : IEEE, 2013
- 2013
- Engelska.
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Ingår i: 2013 IEEE Point-of-Care Healthcare Technologies (PHT). - New York : IEEE. - 9781467327664 ; , s. 264-266
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- A novel data-mining method was developed to gauge the experiences of medical devices and drugs by patients with diabetes mellitus. Self-organizing maps were used to analyze forum posts numerically to better understand user opinion of medical devices and drugs. The end-result is a word list compilation that correlates certain positive and negative word cluster groups with medical drugs and devices. The implication of this novel data-mining method could open new avenues of research into rapid data collection, feedback, and analysis that would enable improved outcomes and solutions for public health.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Nyckelord
- Data collection
- Diabetes mellitus
- Medical Devices
- Social media
- Word lists
- Word-clusters
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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