Monday, June 10, 2019
1:00 pm – 4:00 pm
This course highlights several tools that can be used to enhance the quality of registry data and to automate certain tasks. Specifically, this course will introduce and demonstrate:
1) National Cancer Institute (NCI)’s Observational Research in Oncology Toolbox;
2) DeepPhe natural language processing (NLP) and visualization software;
3) NCI-DOE application programming interface (API);
4) HemOnc chemotherapy regimen ontology.
- Understand the tools available in the NCI’s Observational Research in Oncology Toolbox and consider how they might be incorporated into existing workflows.
- Appreciate how natural language processing tools such as DeepPhe can aid in the abstraction process.
- Appreciate the utility of APIs and how they may ease the data collection process.
- Develop an understanding of how formal ontologic modeling of chemotherapy regimen concepts can increase the utility of cancer registry information.
Presentations will cover technical details but are intended to be broadly inclusive and practical. The emphasis will be on the presentation of existing tools and software that could be utilized by central cancer registries and cancer researchers almost immediately.
This tutorial will provide several perspectives on the state-of-the-art and challenges of extracting and visualizing cancer patient data. Further details are provided in the attached agenda.