Approaches and Strategy for Cancer Research and Surveillance Data
Author | : Paul A. Fearn |
Publisher | : |
Total Pages | : 242 |
Release | : 2016 |
Genre | : |
ISBN | : |
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The generalizable contribution of Chapter 6 is a tool for shifting the work of manual data abstraction so that it generates training and validation data suitable for development of automated clinical data processing algorithms (e.g., statistical algorithms, NLP, machine learning). This tool was built with a technology partner, LabKey Software, so that it can be portable to other clients, scalable, and extensible to different clinical data sources and databases. Other groups are already adopting this tool. The generalizable contributions of Chapter 8 are the following. First, it provides a description of cancer registries and cancer surveillance from an informatics perspective, including the case for automation. Second, it contributes a review of informatics tools and methods applied to cancer registries that indicates potential for automation of clinical data processing. Third, it identifies cancer registries and cancer surveillance as an area for funding and advancing biomedical informatics research.