This page presents the various computing methods deployed within EzeCHiel.
These computing methods are decomposed into the following categories:
- Prediction engines, to calculate the predicted concentration from the patient/population parameters
- A posteriori engines, to calculate the a posteriori parameters of a patient, based on the observed concentration and the population data
- Posology engines, to offer propositions about suitable posologies, considering a set of constraints (time, available doses)
Prediction engines
Currently, two main models have been implemented, both of them for 1, 2 and 3 compartments, and for different kind of intakes:
- Linear elimination
- Michaelis-Menten elimination
Intakes supported by EzeCHiel:
- Bolus
- Infusion
- Extravascular
The equations of these prediction engines are detailed within 6 subpages, corresponding to the type of elimination and number of compartments:
Linear elimination
- Linear elimination with 1 compartment
- Linear elimination with 2 compartments
- Linear elimination with 3 compartments
Michaelis-Menten elimination (non-linear)
- Michaelis-Menten elimination with 1 compartment
- Michaelis-Menten elimination with 2 compartments
- Michaelis-Menten elimination with 3 compartments
A posteriori engines
Posology engines
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