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Feature subset selection for blood pressure classification using orthogonal forward selection
S. Colak,
C. Isik
Department of Electrical Engineering & Computer Science
Research output
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Contribution to journal
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Conference article
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peer-review
15
Scopus citations
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Dive into the research topics of 'Feature subset selection for blood pressure classification using orthogonal forward selection'. Together they form a unique fingerprint.
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Engineering & Materials Science
Blood pressure
91%
Medicine
39%
Feature extraction
30%
Health
28%
Chemical Compounds
Blood Pressure
100%
Pressure
45%