Warfarin dose prediction modeling method based on integrated evolution learning

A technology of dose prediction and modeling methods, applied in medical simulation, informatics, medical informatics, etc.

Inactive Publication Date: 2018-05-04
SUZHOU UNIV
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Problems solved by technology

Although many advances in support vector machines have been achieved, specific kernel functions are only suitable for certain k

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  • Warfarin dose prediction modeling method based on integrated evolution learning
  • Warfarin dose prediction modeling method based on integrated evolution learning
  • Warfarin dose prediction modeling method based on integrated evolution learning

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Embodiment 1

[0050] Embodiment one: see figure 1 Shown, a kind of warfarin dose prediction modeling method based on integrated evolutionary learning, described method is based on genetic programming algorithm and evolution strategy design method, described method comprises the steps:

[0051] Include the following steps:

[0052] (1), based on the evolutionary basis function of genetic code, the principle can be found in figure 2 shown;

[0053] (2), based on the evolutionary strategy calculation coefficient, the principle can be found in image 3 shown;

[0054] (3) Based on the selection and optimization of the genetic algorithm framework, M candidate models are obtained;

[0055] (4) On the basis of M candidate models, select m models for weight sum integration to obtain the final prediction model. The principle can be found in Figure 4 Shown; the regression prediction model obtained by ensemble learning performs the actual prediction on the test set data.

[0056] We collected...

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Abstract

The invention discloses a warfarin dose prediction modeling method based on integrated evolution learning. The method comprises the following steps: (1) based on genetic coding, evoluting primary functions; (2) calculating a coefficient based on an evolutionary strategy; (3) obtaining M candidate models based on the selection and optimization of a genetic algorithm framework; (4) selected m modelsto perform weight-sum integration based on the M candidate models, and obtaining a final prediction model; integrally learning an obtained regression prediction model to perform actual prediction oftest set data. According to the method, the model is constructed in an integrated evolution learning mode, and the integrated evolution learning is a key point for constructing a model for accuratelypredicting the warfarin dose; compared with modeling methods such as a Bayesian decision system, an artificial neural network and a support vector machine, an integrated evolutionary regression modelhas better generalization capability. Compared with an individual evolution regression model, the integrated evolutionary regression model has better stability.

Description

technical field [0001] The invention relates to a warfarin dose prediction modeling method based on integrated evolutionary learning. Background technique [0002] Warfarin is the most widely used oral anticoagulant in the world for the prevention and treatment of thromboembolic disorders. Recent work by the International Warfarin Pharmacogenetics Consortium (IWPC) has shown that clinical factors account for 26% of warfarin dose, with CYP2C9 and VKORC1 genotypes increasing to 43%. However, there is currently no evidence that some clinical variables such as alcohol consumption, sex, and renal function clearly affect warfarin dosing. Because of such large interindividual variability, anticoagulant therapy with warfarin dosing is often complex and unpredictable. In fact, this makes accurate prediction of warfarin dose more difficult. During anticoagulant therapy, the INR (International normalized ratio) of prothrombin should be closely monitored to ensure the selection of an...

Claims

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Application Information

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IPC IPC(8): G16H50/50
Inventor 陶砚蕴张宇祯姜鑫王沁宇
Owner SUZHOU UNIV
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