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A complete data set of every movement of all the inpatients from room to room covering two years was provided us by the Medical Information Department of the University of Tsukuba Hospital in Japan. By focusing on the obstetric patients, who are assumed to be hospitalized rather at random times, we have analyzed the patient flow using our original visualization software. Upon admission, each obstetric...
This paper introduces a discrete conditional survival model (DC-S) with a classification component for predicting patient outcome and survival component for predicting length of stay in hospital. The DC-S model consists of two components; the conditional component which utilises a classification tree and the survival component which models the survival distribution. The survival component of the model...
Interbreath interval (IBI), the time interval between breaths, and its variations in time around the mean, the IBI variability, are important measures associated with irregularity of breathing. The IBI histogram generally follows a power law distribution with its characterizing parameters changing with maturation. To assess the dynamics of breathing we propose a point process model of IBI with a lognormal...
Understanding the stop-making behavior of commuters is important for planners and policy makers in their efforts to improve travel demand models. This paper describes a set of stop frequency models used to predict the number of non-work activity stops made by individual adult workers in five different time periods. Using the travel daily data from the third comprehensive transport survey of Beijing,...
Pattern Oriented Modeling (POM) is an approach to bottom-up complex system analysis which was developed in ecology and for agent-based complex systems. This paper proposes a pattern-oriented agent-based simulation (POABS) approach to analyze agent-based complex system. We apply POABS to a history simulation domain to analyze a particular family line with more successful candidates in the civil service...
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