@proceedings {74,
	title = {POE: A Pathology Extraction Tool for Finding Attribute-Value Pairs in Glioma Pathology Reports},
	year = {2016},
	abstract = {<p>Histopathologic features play an important role in cancer diagnosis. Understanding their relationships with each other and outcomes can assist in evaluating new classification schemes and therapies. To this end, we mine pathology reports, which record these features and their grading. We build POE, an extraction tool which extends TIES to find relevant features and their grading. Evaluation shows POE{\textquoteright}s extraction is 52.2\% accurate and the extracted attribute-value pairs achieve a 76.3\% accuracy in predicting glioma types, suggesting diagnostic value for new classification schemes.</p>
},
	url = {https://scholar.google.com/scholar?btnG=Search\%2BScholar\&as_q=\%22POE\%3A\%2BA\%2BPathology\%2BExtraction\%2BTool\%2Bfor\%2BFinding\%2BAttribute-Value\%2BPairs\%2Bin\%2BGlioma\%2BPathology\%2BReports\%22\&as_sauthors=Lynn\&as_occt=any\&as_epq=\&as_oq=\&as_eq=\&as_publication=},
	author = {Veronica E. Lynn and Niranjan Balasubramanian and Tahsin Kurc and Joel Saltz and Rebecca Jacobson}
}
