Data Mining in Oral Medicine Using Decision Trees
Artikel i vetenskaplig tidskrift, 2008

Data mining has been used very frequently to extract hidden information from large databases. This paper suggests the use of decision trees for continuously extracting the clinical reasoning in the form of medical expert’s actions that is inherent in large number of EMRs (Electronic Medical records). In this way the extracted data could be used to teach students of oral medicine a number of orderly processes for dealing with patients who represent with different problems within the practice context over time.

Decision trees

Data mining

Oral medicine

Författare

Fahad Shahbaz Kahn

Rao Muhammad Anwer

Olof Torgersson

Göteborgs universitet

PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY

1307-6884 (ISSN)

Vol. 27 225-230

Ämneskategorier

Datavetenskap (datalogi)