Theses most similar to Learning to prevent healthcare-associated infections : leveraging data across time and space to improve local predictions (Wiens, Jenna Marleau; 2014) read it
Multi-channel blind system identification using the Laguerre expansion for characterization of circulatory hemodynamics
McCombie, Devin Barnett, 1972- (2004)
- Advisor: H. Harry Asada
- Department of Electrical Engineering and Computer Science; Department of Mechanical Engineering
Formatting and searching a massive, multi-parameter clinical information database
Kyaw, Tin Htet (2005)
- Advisor: Roger G. Mark
- Department of Electrical Engineering and Computer Science
Predicting the risk and trajectory of intensive care patients using survival models
Hug, Caleb W. (Caleb Wayne) (2006)
- Advisor: Laurence R. Young nd Peter Szolovits
- Department of Electrical Engineering and Computer Science
Detecting hazardous intensive care patient episodes using real-time mortality models
Hug, Caleb W. (Caleb Wayne) (2009)
- Advisor: Laurence R. Young nd Peter Szolovits
- Department of Electrical Engineering and Computer Science
Risk stratification of ICU patients using arterial blood pressure waveforms
Sridharan, Mathura J (2013)
- Advisor: Collin M. Stultz
- Department of Electrical Engineering and Computer Science
- Advisor: Roger G. Mark
- Department of Electrical Engineering and Computer Science
Improving clinical risk-stratification tools : instance-transfer for selecting relevant training data
Gong, Jen J. (Jen Jian) (2014)
- Advisor: John V. Guttag
- Department of Electrical Engineering and Computer Science
- Advisors: George Verghese; Thomas Heldt
- Department of Electrical Engineering and Computer Science
Learning and model-based approaches to improved patient monitoring, assessment and treatment in capnography and procedural sedation
Mieloszyk, Rebecca Jennie Asher (2016)
- Advisors: George C. Verghese; Thomas Heldt
- Department of Electrical Engineering and Computer Science
Identifying patients at high risk of death with novel computational biomarkers
Myers, Paul Daniel (2017)
- Advisor: Collin M. Stultz
- Department of Electrical Engineering and Computer Science