Automatic information timeliness assessment of diabetes web sites by evidence based medicine

Highlights • The proposed method predicts the time period that a given content belongs to. • The archives of high quality diabetes web sites between 2006 and 2013 were utilized. • The method's accuracy is 65% in detecting the timeliness according to years. • The accuracy increases when detectin...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine 2014-11, Vol.117 (2), p.104-113
Main Authors: SAGLAM, Rahime Belen, TEMIZEL, Tuğba Taşkaya
Format: Article
Language:English
Subjects:
Applied sciences
Biological and medical sciences
Clinical Trials as Topic - classification
Clinical Trials as Topic - statistics & numerical data
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Computerized medical documentation
Computerized, statistical medical data processing and models in biomedicine
Content-based retrieval
Data Curation - classification
Data Curation - statistics & numerical data
Data Mining - methods
Diabetes
Diabetes Mellitus
Diabetes. Impaired glucose tolerance
Endocrine pancreas. Apud cells (diseases)
Endocrinopathies
Evidence-Based Medicine
Exact sciences and technology
Humans
Information systems. Data bases
Internal Medicine
Medical information systems
Medical sciences
Memory organisation. Data processing
Natural Language Processing
Other
Periodicals as Topic - classification
Periodicals as Topic - statistics & numerical data
Social Media - classification
Social Media - statistics & numerical data
Software
Time Factors
Timeliness analysis
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Summary:Highlights • The proposed method predicts the time period that a given content belongs to. • The archives of high quality diabetes web sites between 2006 and 2013 were utilized. • The method's accuracy is 65% in detecting the timeliness according to years. • The accuracy increases when detecting timeliness according to time intervals.
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2014.07.014