Information Extraction methods can help discover critical knowledge buried in the vast repositories of unstructured clinical data. However, these methods are underutilized in clinical research, potentially due to the absence of free software geared towards clinicians with little technical expertise. The skills required for developing/using such software constitute a major barrier for medical researchers wishing to employ these methods. To address this, we have developed Canary, a free and open-source solution designed for users without natural language processing (NLP) or software engineering experience. It was designed to be fast and work out of the box via a user-friendly graphical interface.
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Summary We tested whether prophylactic droperidol and ondansetron, in combination with a moderate dose of dexamethasone, were equally effe...
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by Demin Li, Carol Bentley, Jenna Yates, Maryam Salimi, Jenny Greig, Sarah Wiblin, Tasneem Hassanali, Alison H. Banham Therapeutic monoclon...
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by Kerstin Jost, Isabelle Pramana, Edgar Delgado-Eckert, Nitin Kumar, Alexandre N. Datta, Urs Frey, Sven M. Schulzke Background Poor contro...
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by Rita Rey-Baños, Luis E. Sáenz de Miera, Pedro García, Marcelino Pérez de la Vega Retrotransposons with long terminal repeats (LTR-RTs) a...
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Through the Wormhole: Is There an Edge to... Science - 43 min - ★ It is commonly theorized that the universe began with the Big Bang... Thro...
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Web version of a book about Subversion. Work in progress, however already very complete. The book should be published by O'Reilly and As...
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Publication date: March 2017 Source: Clinical Biochemistry, Volume 50, Issues 4–5 Author(s): Rosalina Martínez-López, Paloma Ropero, Crist...
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