The event is only open to Brigham and Women's employees.
Alexander Turchin, MD, MS, FACMI and Shervin Malmasi, PhD
When: June 6th, 8:00 a.m. - 9:00 a.m.
Where: BTM 3rd Floor Conference Room
Canary: Information Extraction from Narrative Electronic Data for Researchers and Clinicians
Information extraction is a key Natural Language Processing (NLP) task for discovering and mining critical knowledge buried in unstructured clinical data. Nevertheless, widespread adoption of NLP has yet to materialize; the technical skills required for the development or use of such software can present a major barrier for medical researchers. In particular, no free NLP software geared towards biomedical researchers with limited computer science background has been made available. To address this issue we have developed Canary, a free and open source solution designed for users without NLP, software development or engineering experience. The software allows users to model their target information using lexicons and detection criteria, ranging from simple to complex. It was designed to be fast and work out of the box via a user-friendly graphical interface.
*Please note: The BWH Digital Research Forum is a private peer meeting for BWH researchers, clinicians and innovators working on digital projects and data science to connect and share ideas. The Digital Research Forum is held the 2nd Tuesday of every month from 8-9 am in the 3rd floor conference center of the BTM at 60 Fenwood Rd.
Alexander Turchin, MD, MS, FACMI
Dr. Turchin is Director of Informatics Research and Director of Quality in Diabetes at the Division of Endocrinology at Brigham and Women's Hospital and Associate Professor of Medicine at Harvard Medical School. Dr. Turchin is a graduate of Johns Hopkins University School of Medicine and Massachusetts Institute of Technology (Medical Informatics). His research focuses on analysis of electronic medical record data; he uses advanced informatics technologies including natural language processing to study quality of care and outcomes in chronic endocrine diseases. Dr. Turchin has published over 70 papers and book chapters; his research has been funded by AHRQ, NIH and private foundations. Dr. Turchin is a Fellow of American College of Medical Informatics and is a member of the Endocrine Society Quality Improvement Subcommittee.
Shervin Malmasi, PhD
Dr. Malmasi is a Research Fellow at the Division of Endocrinology at Brigham and Women's Hospital and Research Fellow in Medicine at Harvard Medical School. His work focuses on the analysis of large-scale electronic health record data and the application of predictive models and data mining methods within this context. Prior to his current appointment, he completed his Ph.D. at Macquarie University, Australia and his undergraduate education at the University of Sydney, Australia. His research interests include Natural Language Processing, Medical Informatics, Information Extraction, applied Machine Learning and Multiple Classifier Systems.