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
Göran Falkman
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY
1307-6884 (ISSN)
Vol. 27 225-230Ämneskategorier
Datavetenskap (datalogi)