Predicting risk of complications following a drug eluting stent procedure: A SVM approach for imbalanced data

Proceedings - IEEE Symposium on Computer-Based Medical Systems

Volumn , Issue , 2009, Pages

  Gouripeddi, Ramkiran ^a   Balasubramanian, Vineeth ^a   Panchanathan, Sethuraman ^a   Harris, Jenni ^b   Bhaskaran, Ambika ^b   Siegel, Robert M ^b  

^a ARIZONA STATE UNIVERSITY   (United States)

^b Advanced Cardiac Specialists   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DECISION SUPPORTS; DRUG-ELUTING STENTS; HIGH POTENTIAL; IMBALANCED DATA; MACHINE-LEARNING; PERCUTANEOUS CORONARY INTERVENTION; PREDICTIVE MODELS; REAL-WORLD; ROC CURVES; STATISTICAL MODELS; SYNTHETIC MINORITY OVER-SAMPLING TECHNIQUES;

DECISION SUPPORT SYSTEMS; PREDICTIVE CONTROL SYSTEMS;

SUPPORT VECTOR MACHINES;

EID: 70449659517     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2009.5255454     Document Type: Conference Paper

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