A Linked Data Based Decision Support System for Cancer Treatment

Cancer treatment is a complex process that needs experienced doctors and solid medical knowledge. Different cancer treatment methods work for different patient characteristics. Sometimes it is hard for doctors to specify the treatment for certain patient because it is difficult to get useful information to support treatment decision making from diverse clinic data source. In order to improve the effectiveness of information searching from complicated data environment for cancer therapy, we propose a linked data based system for cancer treatment methods selecting to help doctors in the process of cancer treatment. This system incorporates hospital inner data and open data in life science field combined with Linked Data model. On this basis, a cancer treatment selection algorithm is proposed to find similar cases from historical cases. Finally, a protocol system is implemented to show the usability of our method in the applications for intelligent medical supporting.