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Our lab discovers how to teach computers to understand what neuro-psychiatric patients say. This research is often called natural language processing or computational linguistics. We do this by analyzing the free-text that we gather from the patients or large databases we developed over the years.
We are currently collaborating on studies related to epilepsy, suicide, and emergency medicine. For epilepsy we are building computer systems that will be used by Cincinnati Children’s Hospital Medical Center, Colorado Children’s Hospital, and Children’s Hospital of Philadelphia to understand the quality of epilepsy care. For suicide, we are developing systems to identify the likelihood that a suicidal patient will have a repeated attempt.
Online tool for assigning meaning (concepts) to a phrase or a word in a text. Later this data can be used by machine learning to do automated annotations.
Web-based interface to review how each annotator assigned meanings in a particular text.
Web interface to show how much annotation was submitted by each annotator weekly.
2007 medical NLP challenge – 44 participants all over the world submitted results. Clinical data were later released for further research to the public.
Java applet that is able to browse through Unified Medical Language System Metathesaurus concepts and relations. It is possible to visualize multiple concepts at the same time (e.g., lung and pneumonia).
Online data entry form that collects information from physicians and laboratories for recommending the five best drug therapies for children with epilepsy, ADHD or mood disorder.
Once the data about a patient are collected, it is possible to generate a report that recommends the top five therapies and gives a reason why a particular therapy is better or worse than the other. Drug-drug interactions are also provided (not visible in this screenshot).
Learn more about this cutting-edge center that uses data and computational systems to make disease more preventable, illness more predictive and treatment more personalized.
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