Abstract
Risk estimation of developing breast cancer poses as the first prevention method for early diagnosis. Furthermore, data integration from different departments involved in the process plays a key role. In order to guarantee patient safety, the whole process should be orchestrated and monitored automatically. Support for the solution will be a linked data cloud, composed by all the departments that take part in the process, combined with rule engines.
| Original language | English |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 698 |
| Publication status | Published - 2010 |
| Externally published | Yes |
| Event | Workshop on Semantic Web Applications and Tools for Life Sciences 2010, SWAT4LS 2010 - Berlin, Germany Duration: 10 Dec 2010 → 10 Dec 2010 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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