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Multiple configurations, or even other strategies in components of the approach may be used with better or worse results.
The three main components of the approach that take us from observed data to a validated model are: (1) data pre-processing, (2) system identification and (3) system simplification.
One of the key components of the approach is the possibility of decomposing the system into subcomponents characterized by critical metrics gates that collectively describe the reliability of the whole system.
Each of the seven components of the approach are outlined below with some early reflections on their implementation.
To identify the components of the approach, we drew on a year-long evidence synthesis exercise on CHW performance, synthesis records, author consultations, documentation on large-scale CHW programmes published after the synthesis and other relevant literature.
Furthermore, it would be useful to identify the extent to which the specific components of the approach (e.g., the identification of barriers and levers, co-designing interventions, using evidence based behaviour change techniques, etc).
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Accurate detection of metastasis to lymph nodes is an essential component of the approach to treatment.
This paper represents only one component of the approach we are taking to mitigate the effects of red needle cast.
An important component of the approach is the introduction of a context-specific substitution matrix suitable for comparison of binding-site residues.
A primary component of the approach is the recognition of system modules (e.g. marshes, dendritic systems, tidal rivers, enclosed basins, open bays, lagoons).
This should be considered an inclusive component of the approach to HRM of clinicians.
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