Automatic Retrieval of Web Pages with Standards of Ethics and Trustworthiness Within a Medical Portal: What a Page Name Tells ... View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2007-01-01

AUTHORS

Arnaud Gaudinat , Natalia Grabar , Célia Boyer

ABSTRACT

The ever-increasing volume of health online information, coupled with the uneven reliability and quality, may have considerable implications for the citizen. In order to address this issue, we propose to use, within a general or specialised search engine, standards for identifying the reliability of online documents. Standards used are those related to the ethics as well as trustworthiness of websites. In this research, they are detected through the URL names of Web pages by applying machine learning algorithms. According to algorithms used and to principles, our straightforward approach shows up to 93% precision and 91% recall. But a few principles remain difficult to recognize. More... »

PAGES

185-189

Book

TITLE

Artificial Intelligence in Medicine

ISBN

978-3-540-73598-4
978-3-540-73599-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-73599-1_24

DOI

http://dx.doi.org/10.1007/978-3-540-73599-1_24

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045618256


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