Merging Person-Specific Bio-Markers for Predicting Oral Cancer Recurrence Through an Ontology

摘要: One of the major problems related to cancer treatment is its recurrence. Without knowing in advance how likely will relapse, clinical practice usually recommends adjuvant treatments that have strong side effects. A way optimize predict recurrence probability by analyzing a set bio-markers. The NeoMark European project has identified preliminary bio-markers for case oral collecting large series data from genomic, imaging, and evidence. This heterogeneous needs proper representation order be stored, computed, communicated efficiently. Ontologies are often considered mean integrate biomedical data, their high level formality need interoperable, universally accepted models. paper presents system an ontology been designed all data. validated pilot which populate made public further research.