Averbis GmbH is a leading text mining and machine learning company in Healthcare and Life Sciences. We extract information from large amounts of text, e.g. medical documents, study reports, scientific literature, database and other internal and external data repositories. Our technology automatically analyzes unstructured and structured data, automates intellectual processes and makes meaningful predictions. Some use cases are literature classification, patent monitoring or medical decision support. In this way we help companies and clinics to gain new insights, automate demanding routine tasks and make the right decisions by enabling flexible and powerful data aggregations. We help our customers access and evaluate knowledge sources and automate information processes. By integrating into our customers' business processes, we contribute to lowering costs, boosting productivity, founded decision-making and better prognosis.
Role within AIDAVA
Averbis' main tasks in the project are related to developing a text mining pipeline to extract clinical patient information related to breast cancer and cardiovascular disease in German, Dutch and Estonian clinical documents. The extracted, standardized information will be made available for AIDAVA by enriching it with domain knowledge using knowledge graph technology.