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Warfarin dose prediction method and device

A dose prediction and warfarin technology, applied in chemical machine learning, molecular design, drug reference, etc., can solve the problem of not being equal, and achieve the effect of ensuring accuracy and accurate warfarin dose

Active Publication Date: 2022-06-28
THE THIRD XIANGYA HOSPITAL OF CENT SOUTH UNIV
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Problems solved by technology

Therefore MLR may not be the most feasible method to accurately predict these warfarin doses and a more applicable modeling approach needs to be explored

Method used

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  • Warfarin dose prediction method and device
  • Warfarin dose prediction method and device
  • Warfarin dose prediction method and device

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Embodiment Construction

[0053] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0054] The warfarin dose prediction method provided in this application can be applied to such as figure 1 in the application environment shown. The user terminal 102 communicates with the server 104 through the network through the network. The server 104 may receive the user information sent by the user terminal 102, and input the user information into the warfarin dose prediction model to obtain the warfarin dose corresponding to the user information. The generation method of the warfarin dose prediction model may include: the server 104 extracts a sample set from ...

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Abstract

The invention discloses a warfarin dose prediction method and a prediction device, comprising: extracting a sample set from a database, performing normalization processing on the sample set, and dividing the normalized sample set into several groups; sequentially selecting one group as The first verification set, the remaining group is the training set, a single model is constructed according to the training set and the preset algorithm, and the error of the single model is obtained by verifying the single model through the currently selected first verification set. The accuracy corresponding to the preset algorithm is obtained by error calculation; the algorithm whose accuracy meets the requirements is selected as the optimal algorithm; the parameters of the optimal algorithm are mediated through grid search; the optimal algorithm is trained according to the sample set and parameter adjustment to obtain Huafa A forest dose prediction model; obtain user information, and input the user information into the warfarin dose prediction model to obtain the warfarin dose corresponding to the user information. Using this method can improve the prediction accuracy.

Description

technical field [0001] The invention relates to a warfarin dose prediction method and a prediction device, and belongs to the technical field of drug detection. Background technique [0002] Warfarin is a coumarin oral anticoagulant synthesized by the University of Wisconsin in the United States in the 1940s. It can block the production of reduced vitamin K by inhibiting the activity of vitamin K epoxide reductase, thereby inhibiting the Vitamin K depends on the activation of coagulation factors II, VII, IX, and X to play an anticoagulant effect. Warfarin is the most commonly used oral anticoagulant drug. It has been on the market for more than 60 years. It is widely used in clinical treatment of atrial fibrillation (AF), deep vein thrombosis (DVT) and other diseases. risk of thromboembolism. In 2010, warfarin was used in more than 25 million prescriptions in the United States, and the annual amount of warfarin prescribed is equivalent to 0.5-1.5% of the population. The c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16C20/50G16C20/70G16H70/40
CPCG16C20/50G16C20/70G16H70/40
Inventor 阳国平裴奇郭成贤况赟
Owner THE THIRD XIANGYA HOSPITAL OF CENT SOUTH UNIV
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