by Peter Hammond, Paul M Speight
ftp://aim.unipv.it/pub/papers/idamap98/hammond.ps.gz
Add To MetaCart
Abstract:
Abstract. Oral cancer has relatively low incidence but is potentially very serious if not identified early. For economic reasons, widespread screening for the disease is not appropriate so opportunistic, computeraided screening in primary and secondary healthcare is being investigated. The low incidence and disproportionately low number of positive diagnoses arising in oral screening programmes gives rise to a very sparse dataset. Even so, the machine learning techniques considered here perform as well as general dental and hospital-based screeners in selecting individuals at risk, if less well at avoiding false positives. Once identified, patients can be recalled for a detailed examination of their oral mucosa and lifestyle counselling. 1
Citations
|
2489
|
Induction of Decision Trees
– Quinlan
- 1986
|
|
1782
|
Genetic Programming: On the Programming of Computers by Means of Natural Selection Cambridge
– Koza
- 1992
|
|
509
|
C4.5: Programs for
– Quinlan
- 1993
|
|
13
|
Application of artificial neural networks in mammography for diagnosis of breast cancer
– Wu, Giger, et al.
- 1992
|
|
8
|
A practical application of neural network analysis for predicting outcome of individual breast cancer patients. Breast Cancer Res
– Ravdin, Clark
- 1992
|
|
4
|
Using an artificial neural network to diagnose hepatic masses
– Maclin, Dempsey
- 1992
|
|
2
|
The use of inductive logic programming and data mining techniques to identify people at risk of oral cancer and precancer
– Elliot
- 1996
|
|
2
|
Evaluation of a screening test for the early detection of oral cancer and pre-cancer
– Jullien, Downer, et al.
- 1995
|
|
2
|
Application of backpropagation neural networks to diagnosis of breast and ovarian cancer
– Wilding, Morgan, et al.
- 1994
|
|
1
|
Integral Solutions Ltd
– CLEMENTINE
|
|
1
|
Applying machine learning to an Alzheimer's database
– Datta, Shankle, et al.
- 1996
|
|
1
|
The use of neural networks in medical statistical analysis. MSc Information Systems Engineering Project
– Elliott
- 1993
|
|
1
|
P.M.: Attendance and compliance at an oral screening programme in a general medical practice
– Jullien, Zakrewska, et al.
- 1995
|
|
1
|
J.P.: Advanced ovarian cancer. Neural network analysis to predict treatment outcome. Ann Oncol 4 (Suppl 4
– Kappen, Neijt
- 1993
|
|
1
|
Diagnosis of Oral Cancer using Genetic Programming
– Kent
- 1996
|
|
1
|
Screening for oral cancer. In: Screening for cancer, ed
– Mock
|
|
1
|
Prognoses of oral cavity carcinomas, results of a multicentre retrospective observational study. Munich: Carl Hanser Verlag
– Platz, Fries, et al.
|
|
1
|
Society: IEEE standard for information technology - protocols for distributed simulation applications: Entity information and interaction
– unknown authors
- 1993
|
|
1
|
J.M.: The use of artificial intelligence to identify people at risk of oral cancer and precancer
– Speight, Elliott, et al.
- 1995
|
