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We carried out this process three times using models of progressive complexity: the basic model consisting of age, ICD-10, and active malignancy; the physiology model outlined above; and the full model outlined above.
The state transition features and sequence conservation features are fundamental, so we check the validity of the other features based on predictions made by a basic model consisting of only state transition features and sequence conservation features.
First, we formed a basic model consisting of general parameters either showing differences between the groups or known to affect the levels of IL-5, IL-13 or IFN-γ (Model 1: age, gender, marital status, alcohol use [ 39], and daily smoking [ 40]).
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The basic model consists of the following stages, illustrated in Figure 1B.
A basic architecture about building predictive model consisting of three layers is presented in Fig. 2.
The basic problem may be stated informally as follows: Given a forecast model consisting of a coupled system of ordinary differential equations, u. = F (u, t ), find the trajectory u(t) that best fits the observations.
A basic CA model consists of five fundamental elements: lattice, cell states, neighborhood, transition rules, and time steps.
The predicted basic structural model consists of six α-helices and a central β-sheet core containing six parallel β-strands.
The basic reinforcement learning model consists of (1) environment states, (2) actions, (3) rules for transition between states, (4) immediate reward of transition rules, and (5) agent observation rules.
The basic-cellular-machinery model consists of 41 ODEs and 69 rate equations (Additional file 6). Figure 2 shows the framework of the model construct (lipids not shown).
The example model exclusive of the basic-cellular-machinery model consists of 387 ODEs and approximately 1100 rate equations (Additional file 6).
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