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- short-paperJuly 2021
FedNLP: An Interpretable NLP System to Decode Federal Reserve Communications
SIGIR '21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information RetrievalPages 2560–2564https://doi.org/10.1145/3404835.3462785The Federal Reserve System (the Fed) plays a significant role in affecting monetary policy and financial conditions worldwide. Although it is important to analyse the Fed's communications to extract useful information, it is generally long-form and ...
- research-articleJanuary 2012
Smart alarms: multivariate medical alarm integration for post CABG surgery patients
- Nicholas Stevens,
- Ana Rosa Giannareas,
- Vanessa Kern,
- Adrian Viesca,
- Margaret Fortino-Mullen,
- Andrew King,
- Insup Lee
IHI '12: Proceedings of the 2nd ACM SIGHIT International Health Informatics SymposiumPages 533–542https://doi.org/10.1145/2110363.2110423In order to monitor patients in the Intensive Care Unit, healthcare practitioners set threshold alarms on each of many individual vital sign monitors. The current alarm algorithms elicit numerous false positive alarms producing an inefficient healthcare ...
- posterNovember 2010
GSA: a framework for rapid prototyping of smart alarm systems
- Andrew L. King,
- Alex Roederer,
- David Arney,
- Sanjian Chen,
- Margaret Fortino-Mullen,
- Ana Giannareas,
- William Hanson,
- Vanessa Kern,
- Nicholas Stevens,
- Jonathan Tannen,
- Adrian Viesca Trevino,
- Soojin Park,
- Oleg Sokolsky,
- Insup Lee
IHI '10: Proceedings of the 1st ACM International Health Informatics SymposiumPages 487–491https://doi.org/10.1145/1882992.1883069We describe the Generic Smart Alarm, an architectural framework for the development of decision support modules for a variety of clinical applications. The need to quickly process patient vital signs and detect patient health events arises in many ...
- demonstrationOctober 2010
Demo of the Generic Smart Alarm: a framework for the design, analysis, and implementation of smart alarms and other clinical decision support systems
- Andrew King,
- Alex Roederer,
- Sanjian Chen,
- Nicholas Stevens,
- Philip Asare,
- Oleg Sokolsky,
- Insup Lee,
- Margaret Mullen-Fortino,
- Soojin Park
Cheap and energy efficient wireless technologies have the potential to usher in an era of pervasive and ubiquitous patient monitoring. Some applications which could take advantage of pervasive monitoring are smart alarms and clinical decision support (...
