@conference {ICBO_2018_60,
	title = {ICBO_2018_60: Enhancing Semantic Analysis of Pathology Reports},
	booktitle = {International Conference on Biomedical Ontology (ICBO 2018)},
	series = {Proceedings of the International Conference on Biological Ontology (2018)},
	year = {2018},
	month = {08/06/2018},
	publisher = {International Conference on Biological Ontology},
	organization = {International Conference on Biological Ontology},
	abstract = {<p>Pathology reports play an essential role in cancer treatment and research. They contain vital findings about a patient{\textquoteright}s cancer, such as cell histology and molecular markers, that are used to diagnose the type of cancer, determine treatment options, and enhance our understanding of the nature of the disease. In this poster, we present our efforts to better search for meaningful data in pathology reports by enriching our search methods with semantic information.</p>
},
	keywords = {named entity recognition, natural language processing, Ontology, pathology report},
	url = {http://ceur-ws.org/Vol-2285/ICBO_2018_paper_60.pdf },
	author = {William Duncan and Philip Whalen and Aditya Muralidharan and Jonathan Kiddy}
}
