Now showing items 1-4 of 4
An Investigation of Applications of Artificial Neural Networks in Medical Prognostics
During the course of care, patients frequently develop escalating health problems that lead to medical complications, costly treatments, severe pains, disabilities and even death. Predicting such escalations provides the opportunity to apply preventive measures that result in better patient safety, quality of care and lower ...
Feedforward Control and Process Improvement for Some Time Series Disturbance Models
Process adjustment strategy is an important part of the process improvement methods, which is also called engineering process control (EPC), and it is often integrated with statistical process control (SPC) to improve the process control performance. While feedback control is used to compensate for the output deviation, ...
Quantifying Drivers' Use of In-Vehicle Systems: Implications for Long-term Behavior
The modern day vehicles encompass many in-vehicle Intelligent Transportation Systems (ITS), which can provide continuous feedback to drivers but do require an understanding of the driver, system, and vehicle interactions. A conceptual model of adaptive behavior was developed and used as a framework for the analysis of operators' ...
Reducing Disruptive Effects of Patient No-shows: A Scheduling Approach
Appointment scheduling systems have been studied for nearly 60 years. From a decision making point of view, related problems can be classified into two categories: static and dynamic. In a static scheduling problem, all decisions are made before a clinic session starts; in a dynamic scheduling problem, the schedule of future ...