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Quantification of the fragmentation of rest-activity patterns in elderly individuals using a state transition analysis.
Based on empirical observations, we have developed a state transition model of user behavior during user keyboard interaction.
The proposed algorithm gains a good compression ratio and requires only 2 clock cycles per a state transition.
We give a formal semantics of AnBx in terms of a state transition system expressed in the AVISPA Intermediate Format.
A state transition is executed if events occur.
Using the concept of an orthogonal group, we assume the whole unit performs a state transition.
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We developed a state-transition Markov model, using TreeAge Pro™ 2008 Healthcare Module (TreeAge Software Inc., Williamstown, MA, USA).
Cost-effectiveness was assessed using a state-transition Markov model, which predicted the progress of participants through five health states for ten years after recruitment.
The Coronary Heart Disease Policy (CHDP) Model is a state-transition, cell based model developed in the1980s [ 13].
A state-transition cohort (Markov) model tracked time from surgery until distant recurrence and from distant recurrence to death.
The model has a state-transition structure and is built in Microsoft Excel with Visual Basic macros.
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