Semi-supervised clinical text classification with Laplacian SVMs: An application to cancer case management
Semi-supervised learning can exploit the vast amounts of unlabeled data stored in EMRs. Semi-supervised Laplacian SVMs outperform supervised SVMs. These methods can be used to identify patients at risk for developing cancer from free text radiology reports.
semi-supervised learning support vector machine graph laplacian natural language processing