
Deep information understanding and reasoning
Mining knowledge from medical records and other big data
Deep information understanding and reasoning is about mining knowledge from data records. By reading billions of structured and unstructured records, valuable patterns and causal relationships are revealed. We develop techniques that provide massive capability to extract and build knowledge from vast amounts of data.
One example is our artificial intelligence project with Sørlandet Hospital Trust. There we build systems that provide instant information about crucial medical conditions, such as allergies. Our algorithms mine clinical knowledge from the narrative part of millions of electronic health records (EHR). We want to discover knowledge about cause and effect, as well as the meaning of medical terms and how they are related. Through self-learning artificial intelligence, patient narratives are structured, medical concepts are extracted and crucial findings about the patient are presented to the medical professionals in seconds.
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Ole-Christoffer Granmo
Director and professor
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Morten Goodwin
Deputy director and associate professor
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Geir Thore Berge
ICT advisor and researcher
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Tor Oddbjørn Tveit
Medical doctor and researcher
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B. John Oommen
Chancellor's professor
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Arne Wiklund
Assistant professor
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Mehdi Ben Lazreg
PhD candidate
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Jivitesh Sharma
PhD candidate
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Sondre Glimsdal
PhD candidate