Disease Prediction Based on Prior Knowledge. Gregoe Stiglic , Igor Pernek , Peter Kokol Facuty of Health Sciences University of Maribor Slovania. Zoran Obradovic Center for Information Science and Technology, Temple University, Philadelphia, USA.
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Disease Prediction Based on Prior Knowledge
GregoeStiglic, Igor Pernek, Peter Kokol
Facuty of Health Sciences
University of Maribor
Center for Information Science and Technology, Temple University, Philadelphia, USA
ACM SIGKDD Workshop on Health Informatics (HI-KDD 2012)
August 12, 2012
Bringing health data into digital form
Increasing acceptance of electronic health records (comparing patients)
Constructing disease related networks
Increasing amount of studies in the application of data mining approaches in this field
Age group frequency for both 2008 and 2009
After balancing, classification performance increases.
Subsampling (repeated 10 times)
remove 10 or 50 percent of low impact features
are features left?
test final model
Comparison of AUC for SVM-RRFE and SVM-RFE with 10% removal rate.
Comparison of AUC for SVM-RRFE and SVM-RFE with 50% removal rate.
Frequency of disease code selection in the optimal feature sets for Hyperlipidemia (272.4) classification.