Using feature selection as accuracy benchmarking in clinical data mining.
Automated prediction of new patients’ disease diagnosis based on data mining analysis on historical data is proven to be an extremely useful tool in the medical innovation. There are several studies focusing on this particular aspect. The objective of this study is two-fold. First, we look into th...
| Main Authors: | Hossain, Jafreen, Mohd. Sani, Nor Fazlida, Mustapha, Aida, Affendey, Lilly Suriani |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Science Publications
2013
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/30669/ http://psasir.upm.edu.my/id/eprint/30669/1/Using%20feature%20selection%20as%20accuracy%20benchmarking%20in%20clinical%20data%20mining.pdf |
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