Fingerprint
Dive into the research topics of 'Ranking predictors of complications following a drug eluting stent procedure using support vector machines'. Together they form a unique fingerprint.- Sort by
- Weight
- Alphabetically
Ranking predictors of complications following a drug eluting stent procedure using support vector machines
Ramkiran K. Gouripeddi, V. N. Balasubramanian, Sethuraman Panchanathan, J. Harris, A. Bhaskaran, R. M. Siegel
- Cognitive Ubiquitous Computing, Center for (CUbiC)
- Evolution and Medicine, Center for
- Computer Science and Engineering
- Life Sciences, School of (SOLS)
- Engineering, Ira A. Fulton Schools of (IAFSE)
- Biodesign Institute
- Knowledge Enterprise (KE)
- Engineering of Matter, Transport and Energy, School for (IAFSE-SEMTE)
- Computing and Augmented Intelligence, School of (IAFSE-SCAI)
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution