Machine learning approach for automatic quality criteria detection of health web pages

Studies in Health Technology and Informatics

Volumn 129, Issue , 2007, Pages 705-709

  Gaudinat, Arnaud ^a   Grabar, Natalia ^a   Boyer, Célia ^a  

^a Health on the Net Foundation   (Switzerland)

Author keywords

medical web; natural language processing; patient safety; quality of health information

Indexed keywords

HEALTH; LEARNING ALGORITHMS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; PHILOSOPHICAL ASPECTS; WEBSITES;

AUTOMATIC SYSTEMS; ETHICAL PRINCIPLES; HEALTH INFORMATIONS; MACHINE LEARNING APPROACHES; MEDICAL WEB; PATIENT SAFETY; QUALITY CRITERIA; RELIABILITY OF INFORMATION;

QUALITY CONTROL;

ARTICLE; ARTIFICIAL INTELLIGENCE; EVALUATION; HEALTH; HUMAN; INFORMATION SERVICE; INTERNET; MEDICAL ETHICS; MEDICAL INFORMATICS; NATURAL LANGUAGE PROCESSING; QUALITY CONTROL; STANDARD;

ARTIFICIAL INTELLIGENCE; CODES OF ETHICS; HEALTH; HUMANS; INFORMATION SERVICES; INTERNET; MEDICAL INFORMATICS; NATURAL LANGUAGE PROCESSING; QUALITY CONTROL;

EID: 38449122989     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (15)

1. Fox S. Online Health Search 2006. Pew Internet & American Life Project, 2006.
2. Boyer C, Baujard V, and Scherrer J. HONcode: a standard to improve the quality of medical/health information on the internet and HON's 5th survey on the use of internet for medical and health purposes. In: 6th Internet World Congress for Biomedical Sciences (INABIS 2000), 1999.
3. Price SL, Hersh WR. Filtering web pages for quality indicators: an empirical approach to finding high quality consumer health information on the world wide web. Proc AMIA Symp 1999:911-5.
4. Wang Y. and Liu Z. Automatic detecting indicators for quality of health information on the Web. IJMI, In Press
5. Spertus E. Smokey: automatic recognition of hostile messages. 1997.
6. Vinot R, Grabar N, and Valette M. Application d'algorithmes de classification automatique pour la détection des contenus racistes sur l'internet. In: TALN, 2003.
7. Carreras X and Marquez L. Boosting trees for anti-spam email filtering. In: Proceedings of RANLP-01, 4th International Conference on Recent Advances in Natural Language Processing, Tzigov Chark, BG. 2001.
8. Porter M. An algorithm for suffix stripping. Program 1980;14(3):130-7.
9. Salton G. Developments in automatic text retrieval. Science 1991;253:974-9.
10. Singhal A, Salton G, Mitra M, and Buckley C. Document length normalization. Information Processing & Management 1996;32(5):619-33.
11. Williams K and Calvo RA. A framework for text categorization. In: 7th Australian document computing symposium, 2002.
12. Koller D and Sahami M. Toward optimal feature selection. In: International Conference on Machine Learning, 1996:284-92.
13. Yang Y and Liu X. Re-examination of text categorisation methods. In: Proc of 22nd Annual International SIGIR, Berkley. 1999:42-9.
14. Craswell N and Hawking D. Overview of the trec-2004 web track. In: Voorhees EM and Buckland LP, eds, 13th Text Retrieval Conference (TREC 2004), Gaithersburg, Maryland, USA. 2004.
15. Chapman W, Bridewell W, Hanbury P, Cooper G, and Buchanan B. Evaluation of negation phrases in narrative clinical reports. In: Annual Symposium of the American Medical Informatics Association (AMIA), Washington. 2001.