Clinical Informatics

Improving decision-making processes for precision medicine (clinical informatics)

Development of a Novel Markov Chain Model for the Prediction of Head and Neck Squamous Cell Carcinoma Dissemination. In AMIA Annual Symposium Proceedings. American Medical Informatics Association, 2016 Nov;2016:1832-39, Chicago, IL, November 2016.

Prediction of microscopic tumor spread to regional lymph nodes can assist in radiation planning for cancer treatment. However, it is still challenging to predict tumor spread. In this paper, we present a unique approach to modeling how tumor cells disseminate to form regional metastases. This involves leveraging well established knowledge resources and commonly held notions of how cancer spreads. Using patient data, we utilized our approach to create a model of metastasis for the subset of head and neck squamous cell carcinoma that arises in the mucosa of the lateral tongue. The model was created using a training set extracted from the clinical records of 50 patients with tumors of this type who presented to the University of Washington head and tumor board over a three and half year period. The test sets consist of four case series drawn from the literature.

Coordinated Markov Modeling of Cancer Metastasis from Multiple Primary Site. In Proceedings of the Conference of the Asia Pacific Association for Medical Informatics, Seoul, Korea, November 2016.

A Model of Regional Tumor Metastasis of Squamous Cell Carcinoma of the Tongue. In Proceedings of the American Head and Neck Society (AHNS) 9th International Conference on Head and Neck Cancer, Seattle, WA, July 2016.

Biological Model Development as an Opportunity to Provide Content Auditing for the Foundational Model of Anatomy Ontology. In AMIA Annual Symposium Proceedings. American Medical Informatics Association. 2015 Nov 5;2015:2111-20, San Francisco, CA, November 2015.