Lynn G. Stansbury

Exploiting Representational Diversity for Time Series Classification

Peter Fu-Ming Hu, Colin F. Mackenzie, Lynn G. Stansbury, 2012, 2012 11th International Conference on Machine Learning and Applications.

Computational Gene Mapping to Analyze Continuous Automated Real-Time Vital Signs Monitoring Data

Shiming Yang, Lynn G. Stansbury, Catriona Miller, 2013 .

Predicting Patient Outcomes from a Few Hours of High Resolution Vital Signs Data

Peter Fu-Ming Hu, Colin F. Mackenzie, Lynn G. Stansbury, 2012, 2012 11th International Conference on Machine Learning and Applications.

Noninvasive Intracranial Pressure Monitoring Using Advanced Machine Learning Techniques

Konstantinos Kalpakis, Shiming Yang, Lynn G. Stansbury, 2013 .

Online Recovery of Missing Values in Vital Signs Data Streams Using Low-Rank Matrix Completion

Konstantinos Kalpakis, Shiming Yang, Peter Fu-Ming Hu, 2012, 2012 11th International Conference on Machine Learning and Applications.

Reliable Collection of Real-Time Patient Physiologic Data from less Reliable Networks: a “Monitor of Monitors” System (MoMs)

Shiming Yang, Peter Fu-Ming Hu, Colin F. Mackenzie, 2016, Journal of Medical Systems.

Permutation entropy analysis of vital signs data for outcome prediction of patients with severe traumatic brain injury

Konstantinos Kalpakis, Shiming Yang, Peter Fu-Ming Hu, 2015, Comput. Biol. Medicine.

Prediction of massive blood transfusion (MT) using pre-hospital vital signs

Peter Fu-Ming Hu, Colin F. Mackenzie, Lynn G. Stansbury, 2012, AMIA.

Computational gene mapping to analyze continuous automated physiologic monitoring data in neuro-trauma intensive care

Shiming Yang, Lynn G. Stansbury, Deborah M. Stein, 2012, The journal of trauma and acute care surgery.

Linking Big Data and Prediction Strategies: Tools, Pitfalls, and Lessons Learned

Shiming Yang, Lynn G. Stansbury, Peter F. Hu, 2019, Critical care medicine.