Colin Germond

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Existing patient records are a valuable resource for automated outcomes analysis and knowledge discovery. However, key clinical data in these records is typically recorded in unstructured form as free text and images, and most structured clinical information is poorly organized. Time-consuming interpretation and analysis is required to convert these records(More)
We describe REMIND, a data mining framework that accurately infers missing clinical information by reasoning over the entire patient record. Hospitals collect computerized patient records (CPR's) in structured (database tables) and unstructured (free text) formats. Structured clinical data in the CPR's is often poorly recorded, and information may be(More)
Carcinoid tumours are relatively rare and, in general, slow growing. They can be "non-functioning" tumours, presenting as a tumour mass, or "functioning" tumours secondary to the production of several biopeptides leading to the carcinoid syndrome. Though these tumours represent 0.25% of an oncology practice, a proper understanding of the clinical course of(More)
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