This paper discusses the knowledge integration of clinical information extracted from distributed medical ontology in order to ameliorate a machine learning-based multi-label coding assignment system. The proposed approach is implemented using a decision tree based cascade hierarchical technique on the university hospital data for patients with Coronary Heart Disease (CHD). The preliminary results obtained show a satisfactory finding.
@article{arxiv.1004.1230,
title = {Ontology-supported processing of clinical text using medical knowledge integration for multi-label classification of diagnosis coding},
author = {Phanu Waraporn and Phayung Meesad and Gareth Clayton},
journal= {arXiv preprint arXiv:1004.1230},
year = {2010}
}
Comments
IEEE Publication format, ISSN 1947 5500, http://sites.google.com/site/ijcsis/