@conference {ICBO_2018_37, title = {ICBO_2018_37: Ontology-Enhanced Representations of Non-image Data in The Cancer Image Archive}, 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 = {

The Cancer Image Archive (TCIA) hosts over 11 million de-identified medical images related to cancer for research reuse. These are organized around DICOM-format radiological collections that are grouped by disease type, modality, or research focus. Many collections also include diverse non-image datasets in a variety of formats without a common approach to representing the entities that the data are about. This paper describes work to make these diverse non-image data more accessible and usable by transforming them into integrated semantic representations using Open Biomedical Ontologies, highlights obstacles encountered in the data, and presents detailed representations data found in select collections.

}, keywords = {Cancer, imaging, ontology development, semantics}, url = {http://ceur-ws.org/Vol-2285/ICBO_2018_paper_37.pdf }, author = {Jonathan Bona and Tracy Nolan and Mathias Brochhausen} } @conference {ICBO_2018_56, title = {ICBO_2018_56: Towards the Development of an Opioid Misuse Ontology}, 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 = {

Opioid abuse is a major health crisis in the United States, and it is imperative that patients on an abuse trajectory be identified early. Ontologies, with their semantic representations, provide an advantageous framework for use in early identification of opioid misusers. This paper discusses the early-stage development of the Opioid Misuse Ontology (OMO). Existing ontologies from Ontobee and NCBO Bioportal were reviewed. Data representation for opioid use and misuse was modeled using ontologies with terms from existing resources where possible. Several terms were identified that need to be created. Future directions for OMO include development of new classes, creation of an OWL artifact, publication for public comment, and trialing with electronic medical record data to determine how well it identifies opioid misusers.

}, keywords = {misuse, Ontology, opioids}, url = {http://ceur-ws.org/Vol-2285/ICBO_2018_paper_56.pdf }, author = {Corey Hayes and Jonathan Bona and Mathias Brochhausen} }