The PHIS+ project is enriching an administrative database with clinical data from six different pediatric hospitals (Boston Children’s Hospital, Children’s Hospital of Philadelphia, Children’s Hospital…
Stephane Meystre
Medical errors are recognized as the cause of numerous deaths, and even if some are difficult to avoid, many are preventable. Computerized physician order-entry systems…
Kristina Doing-Harris, Yarden Livnat, Stephane Meystre (2015). Automated concept and relationship extraction for the Semi-Automated Ontology Management (SEAM) System. Journal of Biomedical Semantics, 6(15).
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In the context of a "NLP standards" project initiated by the VA and Qing Zheng, with multiple collaborations, and including an "ontology" and an information…
The Medical Home Portal provides information to support clinicians, parents/guardians, and other professionals in improving care and outcomes for children with special health care needs…
The new Meystre Lab website is online, replacing an old and outdated collection of webpages. Welcome!
This project focuses on providing VA clinical research with methods and instruments for syndrome surveillance, on improving detection and mitigation of health problems in deployed…
The U.S. Veterans Healthcare Administration (VHA) Consortium for Healthcare Informatics Research (CHIR) is a multi-disciplinary group of collaborating investigators affiliated with VHA sites across the…
The Automated Problem List system was developed and evaluated by the PI and Peter Haug in 2003-2005. The goal of this system was to automatically…
Textractor is based on the Apache Unstructured Information Management Architecture (UMIA) framework, and uses methods that are a hybrid between machine learning and pattern matching.…