How can we capture information from free text as conveniently as accessing a database? One of the essential differences is the lack of normalisation of terms and concepts in free text. In this talk we will discuss several applications of specialised normalisation solutions. We will show how range search can be achieved over free text e.g. capturing weights between 60 and 80 kg whether expressed in kilograms or pounds, for patient selection from EHRs. We will also show how queries can be expressed in an Extraction and Search Language (EASL) which allows programmatic access to unstructured data similar to SQL over structured data. Finally we will show a particular use case where gene mutations have been linked to rare disease progression.
14. I2E: A Fully Federated Text Mining Platform
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20. EASL: Enhancing the Value of Federated Search
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