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Description

The classification task of this database is to determine where patients in a postoperative recovery area should be sent to next. Because hypothermia is a significant concern after surgery (Woolery, L. et. al. 1991), the attributes correspond roughly to body temperature measurements. Results: -- LERS (LEM2): 48% accuracy

Related Papers

• Art B. Owen. Tubular neighbors for regression and classification. Stanford University. 1999. [link]
• Glenn Fung and Sathyakama Sandilya and R. Bharat Rao. Rule extraction from Linear Support Vector Machines. Computer-Aided Diagnosis & Therapy, Siemens Medical Solutions, Inc. [link]
• Petri Kontkanen and Jussi Lahtinen and Petri Myllymki and Henry Tirri. Unsupervised Bayesian visualization of high-dimensional data. KDD. 2000. [link]
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