Published on March 6, 2014
The Art of Where Advanced Mission Planning The icu predictions module generates a travel fingerprint of your target by analyzing historical tracking data, thereby allowing you to visualize their future activity. This creates the ability to optimize team deployment for successful target acquisition, enhance takedown planning, and improve Technical Surveillance team safety and efficiency. See the Future. www.G2-Research.com E icu@G2-Research.com T +001 (902) 407-3191
The Art of Where Improve Mission success, acquire targets faster, maximize surveillance team safety. icu predictions uses all of the targets historical travel patterns to produce a concise summary of their behaviour allowing you to predict their future travel. A user can set a prediction threshold to improve confidence and precision when mission planning. icu predictions will automatically identify the Optimal Cycle and eliminate dependency on “standard” 5 or 7 day week. Predictions are available for viewing down to 15 minute granularity. This capability is instrumental in providing accurate battery life calculations for surveillance equipment, takedown planning, and making sure your Technical Surveillance teams are performing installations during a period of optimized safety. icu Predictions will: »» Fingerprint your target from a travel perspective »» Optimize mission planning »» Improve installers safety »» Increase Mission effectiveness »» Track more targets with the same team size Accurately forward-project target activity and location www.G2-Research.com E icu@G2-Research.com T +001 (902) 407-3191
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Clinician Predictions of Intensive Care Unit Mortality . Graeme Rocker, DM; Deborah Cook, MD; Peter Sjokvist, MD; Bruce Weaver, MSc; Simon Finfer, MD ...
Purpose of review: There are few first-hand accounts that describe the history of outcome prediction
1. The Art of WhereAdvanced Mission Planning The icu predictions module generates a travel fingerprint of your target by analyzing historical tracking data ...
idation of the Mortality Prediction Model for ICU Patients," Critical Care Medicine, 15, 208-213.
Interactions Between Physician Predictions of Intensive Care Unit (ICU) Survival < 10%, Multiple Organ Dysfunction Score (MODS), and Patient Preferences
Background. The performance of separate Intensive Care Unit (ICU) status scoring systems vis-à-vis prediction of outcome is not satisfactory ...
What Will the ICU of the Future Look Like ... Here are my predictions: 1) Larger Units – Expect more ICU beds per unit, and larger unit size per bed.
Twenty-five ICU patients developed ... and this was adjusted by an algorithm hidden layer that gave a prediction as to whether the group of input ...
Computerized prediction of intensive care unit discharge after cardiac surgery: development and ... the predictions by ICU physicians (aROC = 0.758) (black