Decision-making model establishing method for auxiliary medical system
A decision-making model and method-building technology, which is applied in computer-aided medical procedures, medical automated diagnosis, biological neural network models, etc., can solve the problems of low maturity of decision-making models and achieve high accuracy and strong robustness
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[0039] refer to Figure 1-3 , a specific embodiment of the present invention includes the following steps,
[0040] A. Use the support vector machine to construct the first classifier, and use the directed acyclic graph support vector machine to construct the second classifier;
[0041] B. Use the neural network to supplement the support vector machine, so as to hedge the risk when the support vector machine makes an error;
[0042] C. Integrating support vector machines and neural networks through ensemble learning.
[0043] In step A,
[0044] Suppose the sample set is {(x 1 ,y 1 ), (x 2 ,y 2 ),..., (x n ,y n )}, x i ∈R d , the equation of the hyperplane is: ω T x+b=0, the optimization problem of support vector machine is equivalent to finding a set of suitable parameters (ω, b), so that the following equations are established,
[0045]
[0046] With the help of Lagrange function and dual problem, the above problem can be simplified into the following equation...
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